AUDIO DATA PROCESSING APPARATUS, AUDIO APPARATUS, AND AUDIO DATA PROCESSING METHOD

Abstract

An audio data processing apparatus and the like are provided in which waveform distortion generated when a virtual sound source moves relative to a speaker is processed by linear interpolation so that the speed of correction processing is achieved. This apparatus has: calculating means calculating first and second distances measured at two time points from the position of the speaker to the position of the virtual sound source; identifying means, when the first and the second distances are different from each other, identifying a distorted part in the audio data at the two time points; and correcting means correcting the audio data of the identified part by interpolation using a function.

Description

BACKGROUND

1. Technical Field

The present invention relates to an audio data processing apparatus, an audio apparatus, an audio data processing method, a program, and a recording medium recording this program.

2. Description of Related Art

In recent years, researches for audio systems employing basic principles of wave field synthesis (WFS) are actively carried out in Europe and other regions (for example, see Non-patent Document 1). (A. J. Berkhout, D. de Vries, and P. Vogel (The Netherlands), Acoustic control by wave field synthesis, The Journal of the Acoustical Society of America (J. Acoust. Soc.), Volume 93, Issue 5, May 1993, pp. 2764-2778)).The WFS is a technique that the wave front of sound emitted from a plurality of speakers (referred to as a “speaker array”, hereinafter) arranged in the shape of an array is synthesized on the basis of Huygens' principle.

A listener who listens sound in front of a speaker array in sound space provided by a WFS receives feeling as if sound emitted actually from the speaker array were emitted from a sound source (referred to as a “virtual sound source”, hereinafter) virtually present behind the speaker array (for example, see FIG. 1).

Apparatuses to which WFS systems are applicable include movies, audio systems, televisions, AV racks, video conference systems, and TV games. For example, in a case that digital contents are a movie, the presence of each actor is recorded on a medium in the shape of a virtual sound source. Thus, when an actor who is speaking moves inside the screen space, the virtual sound source is allowed to be located left, right, back, and forth, and in an arbitrary direction within the screen space in accordance with the direction of movement of the actor inside the screen space. For example, Patent Document 1 (Japanese Unexamined Patent Application Publication No. 2007-502590) describes a system achieving the movement of a virtual sound source.

SUMMARY

In a physical phenomenon known as the Doppler effect, the frequency of sound waves are observed in different values depending on the relative velocity between a sound source which is a source generating sound waves and a listener. According to the Doppler effect, when a sound source which is a source generating sound waves approaches a listener, the oscillation of sound waves is compressed and hence the frequency becomes higher. On the contrary, when the sound source departs from the listener, the oscillation of sound waves is expanded and hence the frequency becomes lower. This indicates that even when the sound source moves, the number of waves of the sound reaching from the sound source does not change.

Nevertheless, in the technique described in Non-patent Document 1, it is premised that the virtual sound source is fixed and not moving. Thus, the Doppler effect occurring in association with the movement of the virtual sound source is not taken into consideration. Thus, when the virtual sound source moves in a direction of departing from the speaker or in a direction of approaching, the number of waves of the audio signal providing the basis of the sound generated by the speaker is changed and hence the change in the number of waves causes distortion in the waveform. When distortion is caused in the waveform, the listener perceives the distortion as noise. Thus, means resolving the waveform distortion need be provided. Details of distortion in the waveform are described later.

On the other hand, in the method described in Patent Document 1, with taking into consideration the Doppler effect generated in association with the movement of the virtual sound source, a weight coefficient is changed for the audio data in a range from suitable sample data within a particular segment in the audio data providing the basis of the audio signal to suitable sample data in the next segment, so that the audio data in the range is corrected. Here, the “segment” indicates the unit of processing of audio data. When the audio data is corrected, extreme distortion in the audio signal waveform is resolved to some extent and hence noise caused by the waveform distortion is reduced.

Nevertheless, in the method described in Patent Document 1, in order that the audio data of the segment at present should be corrected, the sound wave propagation time for the audio data of the next segment need be calculated in advance. That is, in the method described in Patent Document 1, until calculation processing and the like for the sound wave propagation time of the audio data of the next segment are completed, correction of the audio data of the segment at present is not achievable. Thus, a problem arises that a delay corresponding to one segment occurs in the output of the audio data of the segment at present.

The present invention has been devised in view of this problem. An object of the present invention is to provide an audio data processing apparatus and the like identifying a distorted part in audio data and then correcting the identified waveform distortion, wherein audio data is outputted without the occurrence of the above-mentioned delay.

The audio data processing apparatus according to the present invention is an audio data processing apparatus that receives audio data corresponding to sound generated by a moving virtual sound source, a position of the virtual sound source, and a position of a speaker emitting sound on the basis of the audio data and that corrects the audio data on the basis of the position of the virtual sound source and the position of the speaker, the apparatus comprising: calculating means calculating first and second distances measured at two time points from the position of the speaker to the position of the virtual sound source; identifying means, when the first and the second distances are different from each other, identifying a distorted part in the audio data at the two time points; and correcting means correcting the audio data of the identified part by interpolation using a function.

In the audio data processing apparatus according to the present invention, the audio data contains sample data, the identifying means identifies a repeated part and a lost part of the sample data caused by departing and approaching of the virtual sound source relative to the speaker, and the correcting means corrects the repeated part and the lost part having been identified, by interpolation using a function.

In the audio data processing apparatus according to the present invention, the interpolation using a function is linear interpolation.

In the audio data processing apparatus according to the present invention, the part to be processed by the correction has a time width equal to a difference between time widths during propagation of the sound waves through the first and the second distances or a time width proportional to the difference.

The audio apparatus according to the present invention is an audio apparatus that uses audio data corresponding to sound generated by a moving virtual sound source, a position of the virtual sound source, and a position of a speaker emitting sound on the basis of the audio data and that thereby corrects the audio data on the basis of the position of the virtual sound source and the position of the speaker, the apparatus comprising: a digital contents input part receiving digital contents containing the audio data and the position of the virtual sound source; a contents information separating part analyzing the digital contents received by the digital contents input part and separating audio data and position data of the virtual sound source contained in the digital contents; an audio data processing part, on the basis of the position data of the virtual sound source separated by the contents information separating part and position data of the speaker, correcting the audio data separated by the contents information separating part; and an audio signal generating part converting the corrected audio data into an audio signal and then outputting the obtained signal to the speaker, wherein the audio data processing part includes: calculating means calculating first and second distances measured at two time points from the position of the speaker to the position of the virtual sound source; identifying means, when the first and the second distances are different from each other, identifying a distorted part in the audio data at the two time points; and correcting means correcting the audio data of the identified part by interpolation using a function.

In the audio apparatus according to the present invention, the digital contents input part receives digital contents from a recording medium storing digital contents, a server distributing digital contents through a network, or a broadcasting station broadcasting digital contents.

The audio data processing method according to the present invention is an audio data processing method employed in an audio data processing apparatus that receives audio data corresponding to sound generated by a moving virtual sound source, a position of the virtual sound source, and a position of a speaker emitting sound on the basis of the audio data and that corrects the audio data on the basis of the position of the virtual sound source and the position of the speaker, the method comprising: a step of calculating first and second distances measured at two time points from the position of the speaker to the position of the virtual sound source; a step of, when the first and the second distances are different from each other, identifying a distorted part in the audio data at the two time points; and a step of correcting the audio data of the identified part by interpolation using a function.

The program according to the present invention is a program, on the basis of a position of a virtual sound source formed by sound emitted from a speaker receiving an audio signal corresponding to audio data and on the basis of a position of the speaker, correcting the audio data corresponding to sound emitted from the moving virtual sound source, the program causing a computer to execute: a step of calculating first and second distances measured at two time points from the position of the speaker to the position of the virtual sound source; a step of, when the first and the second distances are different from each other, identifying a distorted part in the audio data at the two time points; and a step of correcting the audio data of the identified part by interpolation using a function.

The recording medium according to the present invention records the above-mentioned program.

In the audio data processing apparatus according to the present invention, the part of waveform distortion is identified depending on the approaching or departing of the virtual sound source relative to the speaker. Then, the identified waveform distortion is corrected by interpolation using a function. Thus, the audio data is corrected and outputted without delay.

In the audio data processing apparatus according to the present invention, a repeated part and a lost part of the sample data caused by departing and approaching of the virtual sound source relative to the speaker are identified. Then, correcting means corrects the repeated part and the lost part having been identified, by interpolation using a function. Thus, the audio data is corrected and outputted without delay.

In the audio data processing apparatus according to the present invention, the part of waveform distortion is identified depending on the approaching or departing of the virtual sound source relative to the speaker. Then, the identified waveform distortion is corrected by linear interpolation. Thus, the audio data is corrected and outputted without delay.

In the audio apparatus according to the present invention, the part of waveform distortion is identified depending on the approaching or departing of the virtual sound source relative to the speaker. Then, the identified waveform distortion is corrected by interpolation using a function. Thus, the audio data is corrected and outputted without delay.

In the audio data processing method according to the present invention, the part of waveform distortion is identified depending on the approaching or departing of the virtual sound source relative to the speaker. Then, the identified waveform distortion is corrected by interpolation using a function. Thus, the audio data is corrected and outputted without delay.

In the program according to the present invention, the part of waveform distortion is identified depending on the approaching or departing of the virtual sound source relative to the speaker. Then, the identified waveform distortion is corrected by interpolation using a function. Thus, the audio data is corrected and outputted without delay.

In the recording medium recording a program according to the present invention, the part of waveform distortion is identified depending on the approaching or departing of the virtual sound source relative to the speaker. Then, the identified waveform distortion is corrected by interpolation using a function. Thus, the audio data is corrected and outputted without delay.

According to the audio data processing apparatus and the like according to the present invention, distortion of the audio data caused by the approaching or departing of the virtual sound source relative to the speaker can be corrected without delay and then the corrected audio data can be outputted.

The above and further objects and features will more fully be apparent from the following detailed description with accompanying drawings.

BRIEF DESCRIPTION OF THE SEVERAL VIEWS OF THE DRAWINGS

FIG. 1 is an explanation diagram for an example of sound space provided by a WFS.

FIG. 2A is an explanation diagram generally describing an audio signal.

FIG. 2B is an explanation diagram generally describing an audio signal.

FIG. 2C is an explanation diagram generally describing an audio signal.

FIG. 3 is an explanation diagram for a part of an audio signal waveform formed on the basis of audio data.

FIG. 4 is an explanation diagram for an example of an audio signal waveform formed on the basis of audio data within a first segment.

FIG. 5 is an explanation diagram for an example of an audio signal waveform formed on the basis of audio data within a second segment.

FIG. 6 is an explanation diagram for an example of an audio signal waveform obtained by combining the audio signal waveform formed on the basis of the audio data illustrated in FIG. 4 and the audio signal waveform formed on the basis of the audio data illustrated in FIG. 5.

FIG. 7 is an explanation diagram for an example of an audio signal waveform formed on the basis of audio data within a first segment.

FIG. 8 is an explanation diagram for an example of an audio signal waveform formed on the basis of audio data within a second segment.

FIG. 9 is an explanation diagram illustrating a situation that a lost part of four points occurs between an audio signal waveform formed on the basis of audio data of the beginning part of a first segment and an audio signal waveform formed on the basis of audio data of the final part of a second segment.

FIG. 10 is an explanation diagram for an example of an audio signal waveform obtained by combining the audio signal waveform formed on the basis of the audio data illustrated in FIG. 7 and the audio signal waveform formed on the basis of the audio data illustrated in FIG. 8.

FIG. 11 is a block diagram illustrating an exemplary configuration of an audio apparatus employing an audio data processing part according to Embodiment 1.

FIG. 12 is a block diagram illustrating an exemplary internal configuration of the audio data processing part according to Embodiment 1.

FIG. 13 is an explanation diagram for an exemplary configuration of an input audio data buffer.

FIG. 14 is an explanation diagram for an exemplary configuration of a sound wave propagation time data buffer.

FIG. 15 is an explanation diagram for an audio signal waveform formed on the basis of corrected audio data.

FIG. 16 is an explanation diagram for an audio signal waveform formed on the basis of corrected audio data.

FIG. 17 is a flow chart describing flow of data processing according to Embodiment 1.

FIG. 18 is a block diagram illustrating an exemplary internal configuration of an audio apparatus according to Embodiment 2.

DETAILED DESCRIPTION

Embodiment 1

First, description is given for: a calculation model assuming that the virtual sound source does not move in sound space provided by a WFS; and a calculation model taking into consideration the movement of the virtual sound source. Then, an embodiment is described.

FIG. 1 is an explanation diagram for an example of sound space provided by a WFS. The sound space illustrated in FIG. 1 contains: a speaker array 103 constructed from M speakers 103_1 to 103_M; and a listener 102 who listens sound in front of the speaker array 103. In this sound space, the wave fronts of sound emitted from the M speakers 103_1 to 103_M undergo wave field synthesis based on Huygens' principle, and then propagate through the sound space in the form of a composite wave front 104. At that time, the listener 102 receives feeling as if the sounds emitted actually from the speaker array 103 were emitted from actually-non-existing N virtual sound sources 101_1 to 101₁₃ N located behind the speaker array 103. The N virtual sound sources 101_1 to 101_N are collectively referred to as a virtual sound source 101.

On the other hand, FIG.2 are explanation diagrams generally describing audio signals. When an audio signal is to be treated theoretically, in general, the audio signal is expressed as a continuous signal S(t). FIG. 2A illustrates a continuous signal S(t). FIG. 2B illustrates an impulse train with sampling period Δt. FIG. 2C illustrate data s(bΔt) obtained by sampling and quantizing the continuous signal S(t) with sampling period Δt (here, b is a positive integer). For example, as illustrated in FIG. 2A, the continuous signal S(t) is continuous along the axis of time t and similarly along the axis of amplitude S. The sampling is performed in order to acquire a time-discrete signal from the continuous signal S(t). As a result, the continuous signal S(t) is expressed by data s(bΔt) at discrete time bΔt. Theoretically, the sampling intervals may be variable. However, fixed intervals are more practical. The operation of sampling and quantization is performed such that when the sampling period is denoted by Δt, as illustrated in FIG. 2C, the continuous signal S(t) is interlaced by the impulse train (FIG. 2B) of interval Δt so that quantization is achieved. Here, in the following description, the quantized data s(bΔt) is referred to as “sample data”.

The contents of calculation model without considering a movement of the virtual sound source 101 is as follows. In the present calculation model, the audio signal provided to the speaker array 103 is generated by using following Equations (1) to (4).

In the present calculation model, sample data at discrete time t is generated for an audio signal provided to the m-th speaker (referred to as the “speaker 103_—m”, hereinafter) contained in the speaker array 103. Here, as illustrated in FIG. 1, it is assumed that the number of virtual sound sources 101 is N and the number of speakers constituting the speaker array 103 is M.

$\begin{array}{cc}{l}_m\left(t\right)=\sum _{n=1}^Nq_n\left(t\right)& \left(1\right)\end{array}$

Here,

q_n(t) is sample data at discrete time t of sound wave emitted from the n-th virtual sound source (referred to as the “virtual sound source 101_—n”, hereinafter) among the N virtual sound sources 101 and then having reached the speaker 103_—m, and

l_m(t) is sample data at discrete time t of an audio signal provided to the speaker 103_—m.

q _n =G _n ·s _n(t−τ_mn)   (2)

Here,

G_n is a gain coefficient for the virtual sound source 101_—n,

s_n(t) is sample data at discrete time t of an audio signal provided to the virtual sound source 101_—n, and

τ_mn is the number of samples corresponding to the sound wave propagation time corresponding to the distance between the position of the virtual sound source 101_—n and the position of the speaker 103_—m.

$\begin{array}{cc}{G}_n=\frac{w}{\sqrt{r_n-r_m}}& \left(3\right)\end{array}$

Here,

w is a weight constant,

r_n is the position vector (fixed value) of the virtual sound source 101_—n, and

r_m is the position vector (fixed value) of the speaker 103_—m.

$\begin{array}{cc}{\tau }_{\mathrm{mn}}=\lfloor R\frac{r_n-r_m}{c}\rfloor & \left(4\right)\end{array}$

└ ┘ is a floor symbol,

R is the sampling rate, and

c is the speed of sound in air.

Here, the floor symbol expresses “an integer that is maximum among those not exceeding a given value”.

As seen from Equations (3) and (4), in the present calculation model, the gain coefficient G_n for the virtual sound source 101_—n is inverse proportional to the square root of the distance from the virtual sound source 101_—n to the speaker 103_—m. This is because the set of the speakers 103_—m is modeled as a line of sound source. On the other hand, the sound wave propagation time τ_mn is proportional to the distance from the virtual sound source 101_—n to the speaker 103_—m.

In Equations (1) to (4), it is premised that the virtual sound source 101_—n does not move and stands still at a particular position. Nevertheless, in the real world, persons speak while walking, and automobiles run while generating engine sound. That is, in the real world, a sound source stands still in some cases and moves in some cases. Thus, in order to treat these cases, a new calculation model (calculation model according to Embodiment 1) is introduced which takes into consideration a situation that a sound source moves. This new calculation model is described below.

When a situation that the virtual sound source 101_—n moves is taken into consideration, Equations (2) to (4) are replaced by Equations (5) to (7) given below.

q _n(t)=G_n,t·s_n(t−τ_mn,t)   (5)

Here,

G_n,t is a gain coefficient for the virtual sound source 101_—n at discrete time t, and

τ_mn,t is the number of samples corresponding to the sound wave propagation time corresponding to the distance between the virtual sound source 101_—n and the speaker 103_—m at discrete time t.

$\begin{array}{cc}{G}_{n,t}=\frac{w}{\sqrt{r_{n,t}-r_m}}& \left(6\right)\end{array}$

Here,

r_n,t is the position vector of the virtual sound source 101_—n at discrete time t.

$\begin{array}{cc}{\tau }_{\mathrm{mn},t}=\lfloor R\frac{r_{n,t}-r_m}{c}\rfloor & \left(7\right)\end{array}$

Since the virtual sound source 101_—n moves, as seen from Equations (5) to (7), the gain coefficient for the virtual sound source 101_—n, the position of the virtual sound source 101_—n, and the sound wave propagation time vary as a function of discrete time t.

In general, signal processing on the audio data is performed segment by segment. The “segment” is the unit of processing of audio data and is also referred to as a “frame”. For example, one segment is composed of 256 pieces of sample data or 512 pieces of sample data. Thus, l_m(t) (sample data at discrete time t of an audio signal provided to the speaker 103_—m) in Equation (1) is calculated in the unit of segment. Thus, in the present calculation model, the segment of audio data calculated at discrete time t and used for generating the audio signal provided to the speaker 103_—m is expressed by a vector L_m,t. In this case, L_m,t is vector data constructed from “a” pieces of sample data (such as 256 pieces of sample data and 512 pieces of sample data) contained in one segment extending from discrete time t−a+1 to discrete time t. L_m,t is expressed by Equation (8).

L _m,t=(l_m(t−a+1), l_m(t−a+2), . . . , l_m(t))   (8)

Thus, for example, L_m,t0 at discrete time t₀ is expressed by

L _m,t0=(l_m(t₀−a+1), l_m(t₀−a+2), . . . , l_m(t₀))

When this L_m,t0 is obtained, L_m,(t0+a) is then calculated.

L_m,(t0+a) is expressed by

L _m,(t0+a)=(l_m(t₀+1), l_m(t₀+2), . . . , l_m(t₀+a))

Since the audio data is processed segment by segment, it is practical that r_n,t also is calculated segment by segment. However, the frequentness of update of r_n need not indispensably agree with the segment unit. Then, as a result of comparison between the virtual sound source position r_n,t0 at discrete time t₀ and the virtual sound source position r_n,t0−a at discrete time (t₀−a), it is recognized that the virtual sound source position r_n,t0 varies by the distance that the virtual sound source 101_{—i n} has moved relative to the speaker 103_—m between discrete time (t₀−a) and discrete time t₀. The following description is given for: a case that the virtual sound source 101_—n moves in a direction of departing from the speaker 103_m (the virtual sound source 101_—n is departing from the speaker 103_—m); and a case that the virtual sound source 101_—n moves in a direction of approaching (the virtual sound source 101_—n is approaching the speaker 103_—m).

G_n,t and τ_mn,t also vary in correspondence to the distance that the virtual sound source 101_—n moves between discrete time (t₀−a) and discrete time t₀. The following Equations (9) and (10) express the amount of variation in the gain coefficient that varies in accordance with the distance that the virtual sound source 101_—n has moved between discrete time (t₀−a) and discrete time t₀ and the amount of variation in the number of samples corresponding to the sound wave propagation time. For example, ΔG_n,t0 expresses the amount of variation of the gain coefficient at discrete time t₀, and Δτ_mn,t0 expresses the amount of variation (also referred to as a “time width”) of the number of samples corresponding to the sound wave propagation time at discrete time t₀ relative to the number of samples corresponding to the sound wave propagation time at discrete time (t₀−a). When the virtual sound source moves from discrete time (t₀−a) to discrete time t₀, these amounts of variation take any one of a positive value and a negative value depending on the direction of movement of the virtual sound source 101_—n.

$\begin{array}{cc}\Delta G_{n,t_0}=w\left(\frac{1}{\sqrt{r_{n,t_0}-r_m}}-\frac{1}{\sqrt{r_{n,t_0-a}-r_m}}\right)& \left(9\right)\\ \Delta {\tau }_{\mathrm{mn},t_0}=\frac{R}{c}\left(r_{n,t_0}-r_m-r_{n,t_0-a}-r_m\right)& \left(10\right)\end{array}$

When the virtual sound source 101_—n is departing or approaching relative to the speaker 103_—m, ΔG_n,t0 and time width Δτ_mn,t0 arise and hence waveform distortion occurs at discrete time t0. Here, a state that “waveform distortion” has occurred indicates a state that the audio signal waveform does not vary continuously and does vary discontinuously to an extent that the part is perceived as noise by the listener.

For example, when the virtual sound source 101_—n moves in a direction of departing from the speaker 103_—m so that the sound wave propagation time increases, that is, when the time width Δτ_mn,t0 is positive, in the beginning part of the segment starting at discrete time t₀, the audio data of the final part of the preceding segment appears again for the time width Δτ_mn,t0. In the following description, the preceding segment of the segment starting at discrete time t₀ is referred to as a first segment, and the segment starting at discrete time t₀ is referred to as a second segment. In such a manner the audio data appears repeatedly, as a result, distortion occurs in the waveform.

On the other hand, when the virtual sound source 101 n moves in a direction of approaching the speaker 103_—m so that the sound wave propagation time decreases, that is, when the time width Δτ_mn,t0 is negative, a loss of time width Δτ_mn,t0 is generated between the audio data of the final part of the first segment and the audio data of the beginning part of the second segment. As a result, a discontinuity point arises in the audio signal waveform. This is also waveform distortion. Detailed examples of distortion in the waveform are described below with reference to the drawings.

FIG. 3 is an explanation diagram for a part of an audio signal waveform formed on the basis of audio data. It is assumed that the audio data illustrated in FIG. 3 is expressed by a total of 28 pieces of sample data consisting of the sample data 301 to the sample data 328. With reference to the audio signal illustrated in FIG. 3, the reason why waveform distortion is generated is described below for a case that the virtual sound source 101_—n moves in a direction of departing from the speaker 103_—m and a case that the virtual sound source 101_—n moves in a direction of approaching.

First, description is given for a case that the virtual sound source 101_—n moves in a direction of departing from the speaker 103_—m so that the sound wave propagation time corresponding to the distance between the position of the virtual sound source 101_—n and the position of the speaker 103_—m increases, that is, a case that the time width Δτ_mn,t0 is positive.

FIG. 4 is an explanation diagram for an example of an audio signal waveform formed on the basis of audio data within a first segment. The final part of the first segment contains the sample data 301 to 312. FIG. 5 is an explanation diagram for an example of an audio signal waveform formed on the basis of audio data within a second segment. The beginning part of the second segment contains the sample data 308′ to 318. In the present example, it is assumed that the virtual sound source 101_—n moves in a direction of departing from the speaker 103_—m so that the number of samples corresponding to the sound wave propagation time corresponding to the distance from the virtual sound source 101_—n to the speaker 103_—m in the second segment increases, for example, by five (=Δτ_mn,t) points in comparison with the number of samples corresponding to the sound wave propagation time corresponding to the distance from the virtual sound source 101_—n to the speaker 103_—m in the first segment. As a result of increase in the sound wave propagation time, the sample data 308, 309, 310, 311, and 312 of the final part of the first segment illustrated in FIG. 4 appear again as the sample data 308′, 309′, 310′, 311′, and 312′ in the beginning part of the second segment illustrated in FIG. 5. Thus, when the audio signal waveform formed on the basis of the audio data illustrated in FIG. 4 and the audio signal waveform formed on the basis of the audio data illustrated in FIG. 5 are combined with each other, waveform distortion occurs in the combined part. FIG. 6 is an explanation diagram for an example of an audio signal waveform obtained by combining an audio signal waveform formed on the basis of the audio data illustrated in FIG. 4 and an audio signal waveform formed on the basis of the audio data illustrated in FIG. 5. As seen from FIG. 6, the audio data becomes discontinuous near the sample data 308′ and distortion occurs in the waveform. This waveform distortion is perceived as noise by the listener.

Description is given below for the contrary case that the virtual sound source 101_—n moves in a direction of approaching the speaker 103_—m so that the sound wave propagation time decreases, that is, a case that the time width Δτ_mn,t0 is negative. FIG. 7 is an explanation diagram for an example of an audio signal waveform formed on the basis of audio data within a first segment. The final part of the first segment contains the sample data 301 to 312. The contents are the same as those illustrated in FIG. 5. FIG. 8 is an explanation diagram for an example of an audio signal waveform formed on the basis of audio data within a second segment. The beginning part of the second segment contains the sample data 317 to 328. In the present example, it is assumed that the virtual sound source 101_—n moves in a direction of approaching the speaker 103_—m so that the number of samples corresponding to the sound wave propagation time corresponding to the distance from the virtual sound source 101_—n to the speaker 103_—m in the second segment decreases, for example, by four (=Δτ_m,nt) points in comparison with the number of samples corresponding to the sound wave propagation time corresponding to the distance from the virtual sound source 101_—n to the speaker 103_—m in the first segment.

FIG. 9 is an explanation diagram illustrating a situation that a lost part of four points occurs between an audio signal waveform formed on the basis of audio data of the beginning part of a first segment and an audio signal waveform formed on the basis of audio data of the final part of a second segment. As a result of decrease in the sound wave propagation time, as illustrated in FIG. 9, a lost part of four points (the sample data 313-316) occurs between the audio signal waveform formed on the basis of the audio data of the final part of the first segment and the audio signal waveform formed on the basis of the audio data of the beginning part of the second segment. Thus, when the audio signal waveform formed on the basis of the audio data illustrated in FIG. 7 and the audio signal waveform formed on the basis of the audio data illustrated in FIG. 8 are combined with each other, waveform distortion occurs in the combined part. FIG. 10 is an explanation diagram for an example of an audio signal waveform obtained by combining an audio signal waveform formed on the basis of the audio data illustrated in FIG. 7 and an audio signal waveform formed on the basis of the audio data illustrated in FIG. 8. As seen from FIG. 10, the audio data becomes discontinuous near the sample data 317 and distortion occurs in the waveform. This waveform distortion is similarly perceived as noise by the listener.

The reason why waveform distortion is generated when the virtual sound source 101_—n moves has been described above. Next, Embodiment 1 in which audio data is corrected so that waveform distortion is resolved is described in detail with reference to the drawings.

FIG. 11 is a block diagram illustrating an exemplary configuration of an audio apparatus employing an audio data processing part according to Embodiment 1. The audio apparatus 1100 has an audio data processing part 1101 according to Embodiment 1, a contents information separating part 1102, an audio data storing part 1103, a virtual sound source position data storing part 1104, a speaker position data input part 1105, a speaker position data storing part 1106, a D/A conversion part 1107, M pieces of amplifiers 1108_1 to 1108_M, a reproducing part 1109, and a communication interface part 1110. The audio apparatus 1100 further has: a CPU (Central Processing Unit) 1111 comprehensively controlling the above-mentioned parts; a ROM (Read-Only Memory) 1112 storing a computer program executed by the CPU 1111; and a RAM (Random-Access Memory) 1113 storing data, variable, and the like processed during the execution of the computer program. The audio apparatus 1100 outputs to the speaker array 103 an audio signal corresponding to the corrected audio data.

From a recording medium 1117 storing digital contents (such as movies, computer games, and music videos), the reproducing part 1109 reads appropriate digital contents and then outputs the contents to the contents information separating part 1102. The recording medium 1117 is composed of a CD-R (Compact Disc Recordable), a DVD (Digital Versatile Disk), a Blu-ray Disk (registered trademark), or the like. In the digital contents, a plurality of audio data files respectively corresponding to the virtual sound sources 101_1 to 101_N and virtual sound source position data corresponding to the virtual sound sources 101_1 to 101_N are recorded in a manner of correspondence to each other.

The communication interface part 1110 acquires digital contents from a server 1115 distributing digital contents via a communication network such as the Internet 1114, and then outputs the acquired contents to the contents information separating part 1102. Further, the communication interface part 1110 is provided with devices (not illustrated) such as an antenna and a tuner, and receives a program broadcasted from a broadcasting station 1116 and then outputs the received program as digital contents to the contents information separating part 1102.

The contents information separating part 1102 acquires digital contents from the reproducing part 1109 or the communication interface part 1110, and then analyzes the digital contents so as to separate audio data and virtual sound source position data from the digital contents. Then, the contents information separating part 1102 outputs the audio data and the virtual sound source position data obtained by the separation, respectively to the audio data storing part 1103 and the virtual sound source position data storing part 1104. For example, when the digital contents is a music video, the virtual sound source position data is position data corresponding to the relative positions of a singer and a plurality of musical instruments displayed on the video screen. The virtual sound source position data is, together with the audio data, stored in the digital contents.

The audio data storing part 1103 stores the audio data acquired from the contents information separating part 1102, and the virtual sound source position data storing part 1104 stores the virtual sound source position data acquired from the contents information separating part 1102. The speaker position data storing part 1106 acquires from the speaker position data input part 1105 the speaker position data specifying the within-the-sound-space positions of the speakers 103_1 to 103_M of the speaker array 103, and then stores the acquired data. The speaker position data is information set up by the user on the basis of the positions of the speakers 103_1 to 103_M constituting the speaker array 103. For example, this information is expressed with reference to coordinates in one plane (X-Y coordinate system) fixed to the audio apparatus 1100 within the sound space. The user operates the speaker position data input part 1105 so as to store the speaker position data into the speaker position data storing part 1106. In a case that arrangement of the speaker array 103 is determined in advance from a constraint on the practical mounting, the speaker position data is set up as fixed values. On the other hand, in a case that the user is allowed to determine the arrangement of the speaker array 103 arbitrarily to an extent, the speaker position data is set up as variable values.

The audio data processing part 1101 reads from the audio data storing part 1103 the audio files corresponding to the virtual sound sources 101_1 to 101_N. Further, the audio data processing part 1101 reads from the virtual sound source position data storing part 1104 the virtual sound source position data corresponding to the virtual sound sources 101_1 to 101_N. Further, the audio data processing part 1101 reads from the speaker position data storing part 1106 the speaker position data corresponding to the speakers 103_1 to 103_M of the speaker array 103. On the basis of the virtual sound source position data and the speaker position data having been read, the audio data processing part 1101 performs the processing according to the embodiment onto the read-out audio data. That is, the audio data processing part 1101 performs arithmetic processing on the basis of the above-mentioned calculation model in which the movement of the virtual sound sources 101_1 to 101_N is taken into consideration, so as to generate audio data used for forming audio signals to be provided to the speakers 103_1 to 103_M. The audio data generated by the audio data processing part 1101 is outputted as audio signals through the D/A conversion part 1107, and then outputted through the amplifiers 1108_1 to 1108_M to the speakers 103_1 to 103_M. On the basis of these audio signals, the speaker array 103 generates and emits sound to the sound space.

FIG. 12 is a block diagram illustrating an exemplary internal configuration of the audio data processing part 1101 according to Embodiment 1. The audio data processing part 1101 has a distance data calculating part 1201, a sound wave propagation time data calculating part 1202, a sound wave propagation time data buffer 1203, a gain coefficient data calculating part 1204, a gain coefficient data buffer 1205, an input audio data buffer 1206, an output audio data generating part 1207, an output audio data superposing part 1208, and an output audio data buffer 1209. The distance data calculating part 1201 is connected to the virtual sound source position data storing part 1104 and the speaker position data storing part 1106. The input audio data buffer 1206 is connected to the audio data storing part 1103. The output audio data superposing part 1208 is connected to the D/A conversion part 1107. The output audio data buffer 1209 is connected to the output audio data generating part 1207

The distance data calculating part 1201 acquires the virtual sound source position data and the speaker position data respectively from the virtual sound source position data storing part 1104 and the speaker position data storing part 1106, then, on the basis of these data, calculates distance data (|r_n,t−r_m|) between the virtual sound source 101_—n and each of the speakers 103_1 to 103_M, and then outputs the calculated data to the sound wave propagation time data calculating part 1202 and the gain coefficient data calculating part 1204. On the basis of the distance data (|r_n,t−r_m|) acquired from the distance data calculating part 1201, the sound wave propagation time data calculating part 1202 calculates sound wave propagation time data (the number of samples corresponding to the sound wave propagation time) τ_mn,t (see Equation (7)). The sound wave propagation time data buffer 1203 acquires the sound wave propagation time data τ_mn,t from the sound wave propagation time data calculating part 1202, and then temporarily stores the sound wave propagation time data corresponding to plural segments. On the basis of the distance data (|r_n,t−r_m|) acquired from the distance data calculating part 1201, the gain coefficient data calculating part 1204 calculates gain coefficient data G_n,t (see Equation (6)).

The input audio data buffer 1206 acquires from the audio data storing part 1103 the input audio data corresponding to the virtual sound source 101_—n, and then stores temporarily the input audio data corresponding to plural segments. For example, one segment is composed of 256 pieces of audio data or 512 pieces of audio data. Using the sound wave propagation time data τ_mn,t calculated by the sound wave propagation time data calculating part 1202 and the gain coefficient data G_n,t calculated by the gain coefficient data calculating part 1204, the output audio data generating part 1207 generates output audio data corresponding to the input audio data temporarily stored in the input audio data buffer 1206. The output audio data superposing part 1208 synthesizes the output audio data generated by the output audio data generating part 1207, in accordance with the number of virtual sound sources 101_—n.

FIG. 13 is an explanation diagram for an exemplary configuration of the input audio data buffer 1206. The input audio data buffer 1206 temporarily stores the data by the FIFO (First-In First-Out) method, and hence discards older data. In general, it is sufficient that its buffer size is set up on the basis of the width corresponding to the number of samples of the maximum value of the distance between the virtual sound source and the speaker. For example, when the maximum value is assumed to be 34 meters, in a case that the sampling frequency is 44100 hertz and the speed of sound is 340 meters/second, it is sufficient that the prepared size is 44100×34/340=4410 samples or greater. The input audio data buffer 1206 reads the input audio data from the audio data storing part 1103 in accordance with the buffer size, then stores the data, and then outputs the data to the output audio data generating part 1207. That is, the output to the output audio data generating part 1207 is not necessarily by a sequential method that the order data is outputted earlier. Each square block in FIG. 13 represents a sample data storage region. Then, one sample data piece within a segment is temporarily stored into the sample data storage region. According to FIG. 13, for example, one sample data piece of the beginning part of the newest segment is temporarily stored in the sample data storage region 1300_1, and one sample data piece of the final part of the newest segment, that is, the newest one sample data piece is temporarily stored in the sample data storage region 1300_—1+a−1. Here, “a” denotes the segment length which is the number of sample data pieces contained in one segment.

FIG. 14 is an explanation diagram for an exemplary configuration of the sound wave propagation time data buffer 1203. The sound wave propagation time data buffer 1203 also is a temporary storage part for inputting and outputting data by the FIFO method. Each square block in FIG. 14 represents a sound wave propagation time data storage region. Then, the sound wave propagation time data of each segment is temporarily stored into the sound wave propagation time data storage region. Further, FIG. 14 illustrates a situation that the sound wave propagation time data for two segments are temporarily stored in the sound wave propagation time data buffer 1203. Further, FIG. 14 illustrates a situation that the oldest the sound wave propagation time data is temporarily stored in the sound wave propagation time data storage region 1203_1 of the sound wave propagation time data buffer 1203 and that the newest sound wave propagation time data is temporarily stored in the sound wave propagation time data storage region 1203_2.

With reference to FIGS. 12 to 14, the operation according to an embodiment is described below. The input audio data buffer 1206 reads from the audio data storing part 1103 the input audio data of one segment extending from discrete time t₁ to discrete time (t₁+a−1), and then temporarily stores the read-out data. The following description is given with reference to FIG. 13. Sample data from discrete time t₁ to discrete time (t₁+a−1) are stored in order into the sample data storage region 1300_1 to the sample data storage region 1300_1+a−1. Further, input audio data of plural segments prior to discrete time t₁ are already stored in the sample data storage regions other than the sample data storage regions 1300_1 to 1300_1+a−1. Further, the sample data at discrete time (t₁−1) of the output audio data corresponding to the preceding segment is already stored in the output audio data buffer 1209. Further, similarly, the sound wave propagation time data of the preceding segment is already stored in the sound wave propagation time data buffer 1203.

The distance data calculating part 1201 calculates the distance data (|r_l,t1−r_l|) expressing the distance at discrete time t₁ between the first virtual sound source (referred to as the “virtual sound source 101_1”, hereinafter) and the first speaker (referred to as the “speaker 103_1”, hereinafter), and then outputs the calculated data to the sound wave propagation time data calculating part 1202 and the gain coefficient data calculating part 1204.

Using Equation (7), on the basis of the distance data (|r_l,t1−r_l|) acquired from the distance data calculating part 1201, the sound wave propagation time data calculating part 1202 calculates the sound wave propagation time data τ_l1,t1 and then outputs the calculated data to the sound wave propagation time data buffer 1203.

The sound wave propagation time data buffer 1203 stores the sound wave propagation time data τ_l1,t1 acquired from the sound wave propagation time data calculating part 1202. With reference to FIG. 14, the data having been stored in the data storage region 1203_2 is moved to 1203_1 and then the sound wave propagation time data τ_l1,t1 is stored into the data storage region 1203_2. Thus, at this time, the sound wave propagation time data of the preceding segment is stored in the sound wave propagation time data buffer 1203_1. Here, the sound wave propagation time data buffers are prepared in a number equal to (the number of speakers)×(the number of virtual sound sources present at time t₁). That is, at least M×N sound wave propagation time data buffers are prepared and each buffer stores the sound wave propagation time data of the past one segment and the present sound wave propagation time data.

Using Equation (6), on the basis of the distance data (|r_l,t−r_l|) acquired from the distance data calculating part 1201, the gain coefficient data calculating part 1204 calculates gain coefficient data G_l,t1.

Using the newer sound wave propagation time data stored in the sound wave propagation time data buffer 1203 and the gain coefficient data calculated by the gain coefficient data calculating part 1204, the output audio data generating part 1207 generates output audio data.

In a case that the virtual sound source 101_—n is departing from the speaker 103_—m between discrete time (t₁−a) and discrete time (t₁−1), waveform distortion as illustrated in FIG. 6 occurs as described above. That is, as given in Equation (7), the sound wave propagation time data τ_mn,t1 becomes larger than the sound wave propagation time data τ_mn,t1−a. Thus, the beginning part of the segment starting at discrete time t₁ becomes repetition of the final part of the segment starting at discrete time (t₁−a). That is, in the beginning part of the segment starting at discrete time t₁, the final part of the segment starting at discrete time (t₁−a) appears by the time width Δτ_mn,t1 (=τ_mn,t1−τ_mn,t1−a) which is equal to the difference of the sound wave propagation time data. Thus, the waveform of the audio data becomes discontinuous near discrete time t₁. This is waveform distortion and causes noise. Here, in the present example, the time width Δτ_mn,t1 of the sound wave propagation time data is assumed to be 5. As described above, FIG. 6 is an explanation diagram for an example of a not-yet-corrected waveform. The not-yet-corrected waveform from discrete time t₁ to discrete time (t₁+Δτ_mn,t1) is equal to one obtained by joining the sample data 308′, 309′, 310′, 311′, and 312′. This waveform is equal to one obtained by joining the sample data 308, 309, 310, 311, and 312 within the preceding segment.

First, the correction interval width is set to be 5 which is equal to the time width Δτ_mn,t1. The output audio data buffer 1209 already stores the sample data 312 at the last discrete time (t₁−1) of the preceding segment. In Embodiment 1, for the purpose of resolving the waveform distortion illustrated in FIG. 6, interpolation using a function is performed on the five (Δτ_mn,t1=5) sample data pieces between the sample data 312 at discrete time (t₁−1) (see FIG. 6), that is, the sample data 312 stored in the output audio data buffer 1209, and the sample data 313 at discrete time (t₁+Δτ_mn,t1). Here, linear interpolation is used as an example. The linear interpolation is a technique of calculating an approximate value by assuming a linear relation between two values. Thus, in FIG. 6, it is assumed that the sample data 312 to the sample data 313 are linear. FIG. 15 is an explanation diagram for an example of an audio signal waveform formed on the basis of corrected audio data. As seen from FIG. 15, in the corrected audio signal waveform, the sample data 312 to the sample data 313 are linearized (sample data 1500 to sample data 1504) by linear interpolation so that the waveform distortion illustrated in FIG. 6 is resolved.

At the time of correcting the waveform distortion near discrete time t₁, it is sufficient that the sound wave propagation time of the segment starting at discrete time (t₁−a) and the sound wave propagation time of the segment starting at discrete time t₁ have been calculated. That is, at the time of correcting distortion in the audio data near the starting point of the present segment, the sound wave propagation time of the audio data of the next segment, that is, the segment starting at discrete time (t₁+a), need not have been calculated. Thus, in a case that the virtual sound source 101_—n is departing from the speaker 103_—m, a delay of one segment does not occur. Thus, even in a case that the virtual sound source position is changed in real time, the audio data is corrected without delay.

Next, in a case that the virtual sound source 101_—n is approaching the speaker 103_—m between discrete time (t₁−a) and discrete time t₁, the sound wave propagation time data τ_mn,t1−a becomes smaller than the sound wave propagation time data τ_mn,t1. Thus, since Δτ_mn,t1=τ_mn,t1−a−τ_mn,t1, the time width Δτ_mn,t1 becomes negative. In this case, the audio data is lost relative to the segment starting at discrete time (t₁−a) and the segment starting at discrete time t₁. FIG. 10 is an explanation diagram for an example of an audio signal waveform obtained by combining an audio signal waveform formed on the basis of the audio data illustrated in FIG. 7 and an audio signal waveform formed on the basis of the audio data illustrated in FIG. 8. As seen from FIG. 10, the audio data rapidly varies near the sample data 317 and hence waveform distortion occurs. This waveform distortion is similarly perceived as noise by the listener.

The output audio data buffer 1209 already stores the sample data 312 at the last discrete time (t₁−1) of the preceding segment. In Embodiment 1, for the purpose of resolving the waveform distortion illustrated in FIG. 10, interpolation using a function is performed on the four (Δτ_mn,t1=4) sample data pieces between the sample data 317 at discrete time (t₁−1) and the sample data 321 at discrete time (t₁+Δτ_mn,t1). Here, linear interpolation is employed as an example. Thus, in FIG. 10, it is assumed that the sample data 312 to the sample data 321 are linear. FIG. 16 is an explanation diagram for an example of an audio signal waveform formed on the basis of corrected audio data. As seen from FIG. 16, in the corrected audio signal waveform, the sample data 312 to the sample data 321 are linearized (sample data 1600 to sample data 1603) by linear interpolation so that the waveform distortion illustrated in FIG. 10 is resolved. Similarly to the case that the virtual sound source 101_—n is departing from the speaker 103_—m, it is sufficient that at the time of correcting the waveform distortion near discrete time t₁, the sound wave propagation time of the segment starting at discrete time (t₁−a) and the sound wave propagation time of the segment starting at discrete time t₁ have been calculated. That is, at the time of correcting distortion in the audio data near the starting point of the present segment, the sound wave propagation time of the audio data of the next segment, that is, the segment starting at discrete time (t₁+a), need not have been calculated. Thus, in a case that the virtual sound source 101_—n is departing from the speaker 103_—m, a delay of one segment does not occur. Thus, even in a case that the virtual sound source position is changed in real time, the audio data is corrected without delay.

FIG. 17 is a flow chart describing flow of data processing according to Embodiment 1. This data processing is executed by the audio data processing part 1101 under the control of the CPU 1111. First, the audio data processing part 1101 substitutes 1 into the number n of the virtual sound source 101_—n and substitutes 1 into the number m of the speaker 103_—m. That is, the first virtual sound source 101_1 and the first speaker 103_1 are specified (S10). The audio data processing part 1101 receives from the audio data storing part 1103 the audio file corresponding to the n-th virtual sound source 101_—n (S11). Further, the audio data processing part 1101 receives the virtual sound source position data corresponding to the virtual sound source 101_—n and the speaker position data from the virtual sound source position data storing part 1104 and the speaker position data storing part 1106, respectively (S12). On the basis of the virtual sound source position data and the speaker position data having been received, the audio data processing part 1101 calculates the first and the second distance data (|r_n,t31 r_m|) for the virtual sound source 101_—n and the speaker 103_—m measured at two time points (S13). On the basis of the calculated first and second distance data the audio data processing part 1101 calculates the sound wave propagation time data τ_mn,t corresponding to these distances (S14). The audio data processing part 1101 stores the sound wave propagation time data τ_mn,t and the gain coefficient data G_n,t respectively into the sound wave propagation time data buffer 1203 and the gain coefficient data buffer 1205. Then, the audio data processing part 1101 judges whether the first and the second distance data are different from each other (S15). Here, the judgment may be performed with respect to whether the sound wave propagation time τ_mn,t−a corresponding to the preceding segment stored in the sound wave propagation time data buffer 1203 and the sound wave propagation time data τ_mn,t stored this time are different from each other. That is, at this step, the audio data processing part 1101 judges whether the virtual sound source 101_—n moves or stands still relative to the speaker 103_—m.

At step S15, when it is judged that the first and the second distance data are different from each other (S15: YES), that is, when it is judged that the virtual sound source 101_—n has moved relative to the speaker 103_—m, the audio data processing part 1101 goes to the processing of step S16. In contrast, at step S15, when it is judged that the first and the second distance data are the same (S15: NO), that is, when it is judged that the virtual sound source 101_—n stands still, the audio data processing part 1101 goes to the processing of step S19. On the basis of the judgment result obtained at step S15, the audio data processing part 1101 identifies a repeated part and a lost part of the sample data caused by departing and approaching of the virtual sound source relative to the speaker (S16), and then performs linear interpolation described above onto the distorted part of the waveform so as to correct the waveform (S17).

Then, the audio data processing part 1101 performs gain control on the virtual sound source 101_—n (S18). Then, the audio data processing part 1101 adds 1 to the number n of the virtual sound source 101_—n (S19) and then judges whether the number n of the virtual sound source 101_—n is equal to the maximum value N (S20). As a result of the judgment at step S20, when it is judged that the number n of the virtual sound source 101_—n is equal to the maximum value N (S20: YES), audio data is synthesized (S21). On the other hand, as a result of the judgment at step S20, when it is judged that the number of the virtual sound sources 101_—n is not equal to the maximum value N (S20: NO), the audio data processing part 1101 returns to the processing of step S11 so that performs the processing of step S11 to step S18 onto the second virtual sound source 101_2 and the first speaker 103_1.

After the synthesis of audio data at step S21, the audio data processing part 1101 substitutes 1 into the number n of the virtual sound source 101_—n (S22) and adds 1 to the number m of the speaker 103_—m (S23). Then, the audio data processing part 1101 judges whether the number m of the speaker 103_—m is equal to the maximum value M (S24). When it is judged that the number m of the speaker 103_—m is equal to the maximum value M (S24: YES), the audio data processing part 1101 terminates the processing. In contrast, when it is judged that the number m of the speaker 103_—m is not equal to the maximum value M (S24: NO), the audio data processing part 1101 returns to the processing of step S11.

Embodiment 2

FIG. 19 is a block diagram illustrating an exemplary internal configuration of an audio apparatus 1100 according to Embodiment 2. In comparison with Embodiment 1 in which a program stored in the ROM 1112 in the audio apparatus 1100 is executed, in Embodiment 2, a program stored in a rewritable EEPROM (Electrically Erasable Programmable Read-Only Memory) or an internal storage device 25 is read and executed. The audio apparatus 1100 has an EEPROM 24, the internal storage device 25, and a recording medium reading part 23. A CPU 17 reads a program 231 from a recording medium 230 such as a CD(Compact Disk)-ROM and a DVD(Digital Versatile Disk)-ROM inserted into the recording medium reading part 23, and then stores the program into the EEPROM 24 or the internal storage device 25. The CPU 17 loads onto a RAM 18 the program 231 stored in the EEPROM 24 or the internal storage device 25, and then executes the program.

The program 231 is not limited to one read from the recording medium 230 and then stored into the EEPROM 24 or the internal storage device 25. That is, the program 231 may be stored in an external memory such as a memory card. In this case, the program 231 is read from an external memory (not illustrated) connected to the CPU 17, and then stored into the EEPROM 24 or the internal storage device 25. Alternatively, communication may be established between a communication part (not illustrated) connected to the CPU 17 and an external computer, and then the program 231 may be downloaded onto the EEPROM 24 or the internal storage device 25.

As this invention may be embodied in several forms without departing from the spirit of essential characteristics thereof, the present embodiments are therefore illustrative and not restrictive, since the scope of the invention is defined by the appended claims rather than by the description preceding them, and all changes that fall within metes and bounds of the claims, or equivalence of such metes and bounds thereof are therefore intended to be embraced by the claims.

Claims

1-9. (canceled)

10. An audio data processing apparatus that receives audio data corresponding to sound generated by a moving virtual sound source, a position of the virtual sound source, and a position of a speaker emitting sound on the basis of the audio data and that corrects the audio data on the basis of the position of the virtual sound source and the position of the speaker, the apparatus comprising: a calculating section calculating first and second distances measured at two time points from the position of the speaker to the position of the virtual sound source;an identifying section, when the first and the second distances are different from each other, identifying a distorted part in the audio data at the two time points; anda correcting section correcting the audio data of the identified part by interpolation using a function.

11. The audio data processing apparatus according to claim 10, wherein the audio data contains sample data,the identifying section identifies a repeated part and a lost part of the sample data caused by departing and approaching of the virtual sound source relative to the speaker, andthe correcting section corrects the repeated part and the lost part having been identified, by interpolation using a function.

12. The audio data processing apparatus according to claim 11, wherein the interpolation using a function is linear interpolation.

13. The audio data processing apparatus according to claim 12, wherein the part to be processed by the correction has a time width equal to a difference between time widths during propagation of the sound waves through the first and the second distances or a time width proportional to the difference.

14. The audio data processing apparatus according to claim 11, wherein the part to be processed by the correction has a time width equal to a difference between time widths during propagation of the sound waves through the first and the second distances or a time width proportional to the difference.

15. The audio data processing apparatus according to claim 10, wherein the interpolation using a function is linear interpolation.

16. The audio data processing apparatus according to claim 15, wherein the part to be processed by the correction has a time width equal to a difference between time widths during propagation of the sound waves through the first and the second distances or a time width proportional to the difference.

17. The audio data processing apparatus according to claim 10, wherein the part to be processed by the correction has a time width equal to a difference between time widths during propagation of the sound waves through the first and the second distances or a time width proportional to the difference.

18. An audio apparatus that uses audio data corresponding to sound generated by a moving virtual sound source, a position of the virtual sound source, and a position of a speaker emitting sound on the basis of the audio data and that thereby corrects the audio data on the basis of the position of the virtual sound source and the position of the speaker, the apparatus comprising: a digital contents input part receiving digital contents containing the audio data and the position of the virtual sound source;a contents information separating part analyzing the digital contents received by the digital contents input part and separating audio data and position data of the virtual sound source contained in the digital contents;an audio data processing part, on the basis of the position data of the virtual sound source separated by the contents information separating part and position data of the speaker, correcting the audio data separated by the contents information separating part; andan audio signal generating part converting the corrected audio data into an audio signal and then outputting the obtained signal to the speaker, whereinthe audio data processing part includes:a calculating section calculating first and second distances measured at two time points from the position of the speaker to the position of the virtual sound source;an identifying section, when the first and the second distances are different from each other, identifying a distorted part in the audio data at the two time points; anda correcting section correcting the audio data of the identified part by interpolation using a function.

19. The audio apparatus according to claim 18, wherein the digital contents input part receives digital contents from a recording medium storing digital contents, a server distributing digital contents through a network, or a broadcasting station broadcasting digital contents.

20. An audio data processing method employed in an audio data processing apparatus that receives audio data corresponding to sound generated by a moving virtual sound source, a position of the virtual sound source, and a position of a speaker emitting sound on the basis of the audio data and that corrects the audio data on the basis of the position of the virtual sound source and the position of the speaker, the method comprising steps of: calculating first and second distances measured at two time points from the position of the speaker to the position of the virtual sound source;identifying a distorted part in the audio data at the two time points, when the first and the second distances are different from each other; andcorrecting the audio data of the identified part by interpolation using a function.

21. A non-transitory computer-readable medium in which a computer program is recorded, on the basis of a position of a virtual sound source formed by sound emitted from a speaker receiving an audio signal corresponding to audio data and on the basis of a position of the speaker, causing a computer to correct the audio data corresponding to sound emitted from the moving virtual sound source, the computer program comprising steps of: causing the computer to calculate first and second distances measured at two time points from the position of the speaker to the position of the virtual sound source;causing the computer to identify a distorted part in the audio data at the two time points, when the first and the second distances are different from each other; andcausing the computer to correct the audio data of the identified part by interpolation using a function.