1. Field of the Invention
The present invention relates to an acoustic signal processing apparatus and method, and an audio device. More particularly, the present invention relates to the art of extracting external noise components contained in acoustic signals.
2. Description of the Related Art
In general, car audio systems have problems with noise which is present in sound playback systems. The noise makes it difficult for users to hear acoustic signals of music, etc., provided from a speaker while moving. In the related art, an audio signal supplied to the speaker is corrected based on an external noise component, such as noise present in a sound playback system.
However, the apparatus of the related art has drawbacks. As shown in
Accordingly, in order to overcome the above-described drawbacks of the related art, it is an object of the present invention to provide an acoustic signal processing apparatus and method, and an audio device in which external noise can be accurately estimated with less computation.
In one aspect of the present invention, an acoustic signal processing apparatus includes a first band analyzer for dividing an acoustic signal received from a sound playback system through an input unit into a plurality of frequency bands and for generating a first band level for each band; an acoustic signal estimator for estimating the band level of the original acoustic signal at the input unit and for generating a second band level for each band; and a processor for extracting an external noise component which is contained in the acoustic signal using the first band level and the second band level. The acoustic signal is divided into a plurality of frequency bands and the band level is supplied for each band, thus allowing a frequency characteristic of the acoustic signal to be represented by the band level for each band, so that the amount of computation required can be greatly reduced. The apparatus can therefore be compact and low-cost. The number of bands divided is set as desired, thus achieving a compact and low-cost apparatus with high accuracy.
In the acoustic signal processing apparatus, the acoustic signal estimator may include a second band analyzer for dividing an audio signal corresponding to the acoustic signal, which has not been supplied to the sound playback system, into the plurality of frequency bands and for generating a third band level; and a calculator for correcting the third band level according to an acoustic characteristic of the sound playback system which is in the state where the sound playback system does not have the external noise component. The calculator is the model of a noiseless sound playback system. The external noise component is obtained by subtracting the second band level received from the acoustic signal estimator from the first band level. In the acoustic signal processing apparatus, the calculator may multiply the third band level by a coefficient for correction. The acoustic signal estimator may include a coefficient adjusting unit for adjusting the value of the coefficient. With adjustment of the coefficient, the apparatus can support a variety of sound playback systems.
Alternatively, the acoustic signal estimator may selectively generate a plurality of second band levels depending upon a state of the sound playback system. Therefore, a second band level suitable for the sound playback system can be easily selected, for each band, from the plurality of second band levels using a simple mechanism.
In the acoustic signal processing apparatus, the processor may subtract the second band level from the first band level. With such a simple calculation method as subtraction, a compact and low-cost acoustic signal playback apparatus with low power consumption can be achieved.
In the acoustic signal processing apparatus, the first band analyzer, the acoustic signal estimator, and the processor may be formed on a single chip.
The band level may be a mean level for each frequency band.
In another aspect of the present invention, an audio signal processing method includes: dividing an acoustic signal received from a sound playback system through an input unit into a plurality of frequency bands and generating a first band level; estimating the band level of the original acoustic signal at the input unit and generating a second band level for each band; and extracting a noise component which is contained in the acoustic signal using the first band level and the second band level. Therefore, a system for carrying out the method can be compact and low-cost. The number of bands is set as desired, thus achieving a compact and low-cost system with high accuracy.
In another aspect of the present invention, an audio device includes an audio source for generating an audio signal, and a correction unit for correcting the audio signal. The correction unit includes the above-noted acoustic signal processing apparatus, and a corrector for correcting the audio signal according to the external noise component supplied from the acoustic signal processing apparatus. Since an acoustic signal for canceling masking caused by external noise present in the environment where the audio device is installed can be provided, a problem that music is suppressed by the external noise and cannot be heard is overcome.
In the audio device, the correction unit may include a filter for performing audio correction on the audio signal according to the external noise component. The correction unit may include an audio corrector.
According to the present invention, therefore, in an acoustic signal processing apparatus and method, and an audio device, external noise can be accurately estimated with less computation.
Embodiments of the present invention are described below with reference to the accompanying drawings.
An acoustic signal processing circuit 20 includes a band analyzer 21, an acoustic signal estimator 22, and a band level subtractor 23. The acoustic signal processing circuit 20 further includes input terminals 26 and 28, and output terminals 27. A microphone 11 is connected to the input terminal 26 of the acoustic signal processing circuit 20. An audio signal is supplied to the speaker 10 and is also supplied to the input terminal 28. An electrical signal (external noise signal) corresponding to external noise extracted in the way described below is supplied to the output terminal 27 for each band.
The band analyzer 21 which functions as a first band analyzer divides the acoustic signal received from a sound playback system through the input terminal 26 serving as an input unit into frequency bands, and generates a first band level. The acoustic signal estimator 22 estimates the band level of the original acoustic signal at the input terminal 26, and generates a second band level for each band. The acoustic signal of the input terminal 26 means an output signal of a microphone 11 connected to the input terminal 26. The band level subtractor 23 which functions as a processor subtracts the second band level from the first band level to extract an external noise component contained in the acoustic signal.
The acoustic signal estimator 22 includes a band analyzer 24 and a multiplier group 25. The band analyzer 24 which functions as a second band analyzer divides the acoustic signal which has not been supplied to the sound playback system, i.e., the audio signal applied to the speaker 10 and the input terminal 28, into frequency bands, and generates a third band level. The multiplier group 25 which functions as a calculator corrects the third band level according to an acoustic characteristic of the sound playback system assuming that the sound playback system is noiseless. In this way, the acoustic signal estimator 22 shown in
The band analysis performed by the band analyzers 21 and 24 includes dividing the frequency band of the audio signal to define a plurality of bands (frequency widths), and generating the band level for each band. In this embodiment, the frequency characteristic of the acoustic signal is represented by the band level for each band. An example of the band level is the mean level for each band. The signal level at a certain frequency can be calculated by, for example, performing FFT (Fast Fourier Transform) on an input signal. The signal levels at some frequencies are determined for each band to calculate the average thereof, thereby obtaining the band level.
Each multiplier of the multiplier group 25 corresponds to one band, and multiplies the band level of the corresponding band by a predetermined coefficient. The value of the coefficient set for each band depends upon the sound playback system. The multiplier group 25 multiplies the band level received from the band analyzer 24 by the coefficient which depends upon a frequency characteristic of the pure (or noiseless) sound playback system to estimate the band level of the original acoustic signal (audio signal) at the microphone 11. The multiplier group 25 is therefore a circuit that models the sound playback system.
For each band, the band level subtractor 23 subtracts the second band level received from the acoustic signal estimator 22 from the first band level received from the band analyzer 21, and supplies the subtraction result to the output terminal 27. The resulting output signal of the acoustic signal processing apparatus 20 is an external noise signal indicating the band level of external noise estimated for each band.
[(4096/2)×{log2(4096)−1}+4096×log2(4096)+4096+16]×2÷4096=37.0078
The number of computations required per second is given as follows:
37.0078×44100=1632000
The number of computations required in the present invention is about 1/221 of the number of computations required in the related art, i.e., 361,267,200, and is greatly reduced. Therefore, external noise can be accurately estimated with fewer computations, thus making the acoustic signal processing apparatus 20 compact and low-cost with low power consumption.
The number of bands is not limited to 16, and the signal may be divided into any number of frequency bands. The more frequency bands the signal is divided into, the more precise adjustment of frequency division can be achieved while more computation is required. On the other hand, the fewer frequency bands the signal is divided into, the less precisely adjusted is frequency division although less computation is required. The number of bands should be set as desired in view of this point.
The mechanism has two types of structure. In a first type, the coefficient αi may vary consecutively. In a second type, the coefficient αi may vary discretely. The first type of mechanism in which the coefficient αi is consecutively variable supports any type of sound playback system. On the other hand, in the second type of mechanism in which the coefficient αi is discretely variable, some coefficient values αi are stored in advance, from which an appropriate value is selected. For example, a plurality of typical models of sound playback systems are prepared, and sets of coefficients in correspondence therewith are stored in a register or the like.
In either type, the coefficient αi is controlled by, for example, a controller of the acoustic signal processing apparatus 20.
In the foregoing description, the band analyzers 21 and 24 perform FFT; however, any other device can be used to determine the band level for each band. For example, band-pass filters having different passbands can be used to constitute the band analyzers 21 and 24.
In the foregoing description, the widths of the bands are equal; however, the bandwidths may be different. For example, relatively broad bandwidths may be provided in the mid-low frequency range, and relatively narrow bandwidths may be provided in the high frequency range. With the bandwidths weighted in this way, the sound playback system can be more strictly modeled. However, weighting the bandwidth increases the complexity in circuit configuration and computation processing. In view of this, the equal bandwidth or weighted bandwidth may be chosen as required.
The acoustic signal processing apparatus 20 may further include, for example, a DSP (digital signal processor). The DSP is a one-chip semiconductor device having a circuit suitable for quickly repeating sum-of-product computations. As described above, since the number of required computations can be greatly reduced according to this embodiment, a compact DSP may be used, thus reducing the circuit size and the cost while achieving high speed operation and low power consumption.
The audio device shown in
In the present invention, the speaker 10 and/or the microphone 11 may be accommodated by the audio device, or may be external to the audio device.
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