This application claims the benefit of priority from European Patent Application No. EP12450035, filed Jun. 21, 2012, which is incorporated by reference.
1. Technical Field
This invention relates to audio headphones, and more particularly, audio headphones having active noise suppression.
2. Related Art
Headphones are worn by an end user to enable the user to listen to audio, such as music or speech, and to listen to other useful signals. Earpieces of some headphones include components or elements to dampen or reduce the interfering effect of ambient noise, such as noises occurring at a construction site, road noises, or noises occurring around or within a vehicle. While some of these headphones dampen or reduce high-frequency ambient noise they still permit low-frequency ambient noise to enter the earpiece undampened.
Other headphones are configured such that an earpiece loudspeaker actively outputs a signal that is substantially inverse to the noise penetrating from the outside of the earpiece so that the low frequency noise is substantially canceled out before the noise enters the end user's ear. Some active noise suppressing headphones include microphones that are generally arranged on a front outside portion of one or both headphone ear pieces. These headphones operate on surrounding ambient noise through the external microphones and a separate control unit in combination with a radio and a number of control buttons. Other active noise suppressing headphones sense ambient noise with an external microphone and compensate for the sensed ambient noise with a loudspeaker internal to a headphone ear piece and an analog filter with a transfer function. Yet other active noise suppressing headphones use separate microphones paired with separate specified filters or filter hands to reduce ambient noise. The user of these noise suppressing headphones selects through switches, depending on the circumstances, whether the first filter or the second filter is used for noise suppression. Yet other active noise suppressing headphones input ambient noise received at a microphone through an adaptive filter. In these noise suppressing headphones, the adaptive filter output is aligned in with the incidence direction of the ambient noise through the use of an error microphone positioned by a loudspeaker membrane.
The disclosed active noise suppression headphone system is directed to a headphone system that is capable of substantially suppressing high or low frequency interfering noise that penetrate through a headphone earpiece from multiple directions. An external microphone mounted with a housing of a headphone earpiece senses ambient noise outside of the earpiece. The sensed ambient noise may be processed through at least one parallel filter bank arranged in at least one headphone earpiece. Each parallel filter bank may include adaptively linked filters. The output of these filters may be amplified based on weighting factors that are dependent upon the sensed ambient noise and that are generated by a filtered x least mean square circuit. The amplified filtered outputs may be summed to generate an antinoise signal that is in input to a loudspeaker within the headphone earpiece that substantial suppresses the ambient noise before it can be perceived by an end user of the headphones.
The system may be better understood with reference to the following drawings and description. The components in the figures are not necessarily to scale, emphasis instead being placed upon illustrating the principles of the invention. Moreover, in the figures, like referenced numerals designate corresponding parts throughout the different views.
The analog filter H simulates a transfer of sound from the outside of the earpiece 1 to the inside of the earpiece 1. Depending on the direction of incidence of the sensed outside noise, this transition changes. The fixed analog filter H does not account for these changes, and thus limits the suppression of interfering sounds incident upon the earpiece from a direction not accounted for by the fixed filter.
In some configurations, the filter bank may include at least two adaptively linked analog filters H. Some or all of these adaptively linked analog filters H may be adaptively weighted based on different directions of incidence of sensed ambient noises. The adaptability of some or all of these filters based on different directions of incidence of the interfering sound permits adjustment of the “antinoise” to be generated by the loudspeaker of the disclosed active noise suppression headphone apparatus.
In
w
i
[n]=w
i
[n−1]+μxi[n]e[n] (1)
In equation (1), μ represents a weighting factor, e represents a signal of an error microphone, and xi is a signal obtained from the corresponding filter output H1 . . . Hn and additional filtering with an estimated value Ŝ of the secondary path S. The weighting factor μ is a multiplicative parameter for the adaption rate. Thus, the greater the weighting factor μ, the more weight that is placed on the current signal change and the current error. In some fxLMS circuit, adaption may occur time-discretely.
In some configurations of the disclosed active noise suppression headphone apparatus, the corresponding weights wi may be calculated in an analog fashion. In other configurations, the calculation of the corresponding weights wi may occur in a digital fashion. When implemented in a digital fashion, input signals to a fxLMS circuit are preprocessed through an analog-to-digital converter (“A/D” or “ADC”) to generate a digital signal. Output signals of a digital fxLMS circuit may be post-processed with a digital-to-analog (“D/A” or “DAC”) converter. The configuration of corresponding amplifiers coupled with a fxLMS circuit may determine the format of the weights. For example, where the corresponding amplifiers are voltage-controlled amplifies (“VCA”), the calculated weights w, are formatted as a voltage. However, where the corresponding amplifiers have a different configuration, the calculated weights w, may be formatted to accordingly control the corresponding amplifiers.
Coupled to the earpiece 1 is an external microphone 2. As shown in
In
Amplification of the filter outputs of the filter bank may be controlled through amplifiers as a function of the direction of the interfering sound sensed by the external microphone 2. In
In the active noise suppression headphone apparatus of
In some instances, each earpiece 1 of a pair of headphones may be configured as described with respect to
The digitized signal from the external microphone 2 is generated with an analog-to-digital converter, ADC. This digitized input signal serves as an input signal for the digitally simulated secondary path
In some configurations, an active noise suppression headphone apparatus may be configured to substantially suppress or reduce ambient noise in which the apparatus includes a plurality of earpieces each having a housing. An external microphone may be mounted with the housing of each earpiece, and each external microphone may be configured to sense the ambient noise relative to the headphone apparatus. Each external microphone may be coupled with a parallel bank of at least two adaptively linked analog filters. Each earpiece may also include a loudspeaker. Signals output from each external microphone may be input through a simulation of a secondary path. This secondary path simulation may represent a propagation of some ambient noise through the earpiece. The signals output from each external microphone may also be input to the respective parallel filter banks, and to a fxLMS circuit. A further input to the fxLMS input may be an error signal that is output by an error microphone position within each respective earpiece and downstream from its respective loudspeaker. The output of the fxLMS circuit may control amplifiers paired with the adaptively linked analog filters of the parallel filter banks. When these amplifiers are voltage-controlled amplifiers, the output of the fxLMS circuit may be a voltage. Where alternate types of amplifiers are used, the signal output from the fxLMS circuit may be a like type such that it may be used to control the amplifiers. The output of the amplifiers in each earpiece may be input to an adder, and the combined signal input to the loudspeaker of that earpiece.
In some configurations of the active noise suppression headphone apparatus of this disclosure, different frequency bands (for example, critical bandwidths in the range from about 20 Hz to about 2 kHz) can also be used so that specific frequency ranges of sensed ambient noise can be weighted separately from ambient noise sensed from specific directions.
Summation of each of the filtered ambient noise signals may occur at act 12. At act 14 the summed signal may be input to a loudspeaker positioned with the earpiece of the headphone to generate the antinoise signal. The antinoise signal output by the loudspeaker may substantially reduce or suppress some or all of the ambient noise components that penetrate through the headphone earpiece before these penetrating signal are perceived by an end user of the headphones.
Before summation of the filtered sensed ambient noise, the filtered output signals may be amplified. One manner in which these filtered output signals may be amplified is with the use of adaptive amplifiers, such as a voltage-controlled amplifier. The voltage-controlled amplifier may be controlled by weighting factors that are dependent upon the sensed ambient noise. In some situations, the weighting factors may be dependent upon a direction of incidence of the ambient noise sensed by the external microphone. The amplifier weighting factors may be generated through the use of a filtered x least means square (fxLMS) circuit. In some configurations, the filtered x least means square circuit may be implemented through the use of analog components, whereas in other configurations, the filtered x least means square circuit may be implemented digitally.
When implemented with analog components, the inputs to the fxLMS circuit may include the output of the filtered sensed ambient noise and an error signal generated by an error microphone downstream of the loudspeaker that is positioned within the headphone earpiece. In yet other configurations, the inputs to the fxLMS circuit may include a signal that passed through a simulated secondary path and a parallel bank of at least two adaptively linked analog filters as well as the error signal derived from the error microphone. In a digital configuration, the inputs to a digital fxLMS circuit may include a digitized version of the sensed ambient noise that is passed through a digitally simulated secondary path and a digital filter simulation of the at least two adaptively linked analog filters, as well as a digitized version of the error signal from the error microphone.
The below exemplary calculations, and rounding, explain the effectiveness of the disclosed active noise suppression headphone apparatus. The residual noise resulting after active noise suppression is the noise that has penetrated the earpiece minus the antinoise generated by the active noise suppression headphone apparatus and which is output by loudspeaker 3. The following situation is therefore obtained in the spectral range for the residual noise spectrum E at any time:
E=XK−XH=(K−H)X (2)
where X is the spectrum of the interfering sound signal x recorded on the outside of the earpiece 1, K the transfer function of the interfering sound from the outside of the earpiece 1 inward, and H is the analog filter which simulates the transfer function. Normalization of the residual noise energy to the input signal energy leads to:
Equation (2) illustrates that a residual noise spectrum E resulting after noise suppression may be calculated from a transfer function K, the received interference signal spectrum X, the analog filters H1 . . . Hn, and their corresponding weightings w1 . . . wn:
The residual noise spectrum E and the extent of active noise suppression is calculated below, for exemplary purposes only, at a frequency fexample=500 Hz. For this frequency, the amplitude and phase of two different transfer functions (K1 and K2) and for a fixed filter and two adaptively linkable parallel filters are provided in Table 1.
A fixed filter with the transfer function K1:
For the transfer function K1 with the fixed ANC filter at fexample, the residual noise spectrum is: E(fexample=(0.6−j0.62)−(0.5−j0.485)=0.1−j0.135.
This corresponds to residual noise at −15.5 dB. In comparison with the −1 dB purely passive attenuation by the transfer function K1, this means that there is active noise suppression of −1 dB+15.5 dB=14.5 dB.
A fixed filter with the transfer function K2:
For the transfer function K2 with the fixed ANC filter, the residual noise spectrum is:
E(fexample)=(1.072−j0.4)−(0.5−j0.485)=0.572+j0.085.
This corresponds to residual noise at −4.7 dB or an active noise suppression of +1 dB+4.7 dB=5.7 dB.
Both of the above cases use fixed filters. The amount of active noise suppression varies depending on the configuration of the utilized fixed filter.
In the following two exemplary calculations, two adaptively linked parallel filters are used. The adaptability of these filters continues until it is determined that convergence of the fxLMS algorithm is reached. The adaption of the fxLMS algorithm may be considered converged, when the change in square error remains below about 1% of the total error variance. A relation between the number of iterations and the change in square error diminishing with increasing number of iterations is shown in
Two adaptively linkable parallel filters with the transfer function
For a cosine at 500 Hz, a scanning rate of 4000 Hz, an initial filter application of 0.37 and 0.1 and a weighting factor of μu=0.1 the first three recursions are calculated as follows with the fxLMS algorithm:
First recursions: ρ=0°
The noise sensed at the external microphone amounts to:
x=cos(ρ)=)cos(0°)=1
and the noise that penetrates into the earpiece amounts to:
x
in
=∥K
1∥*cos(ρ+arg(K1))=0.86*cos(0°−45.94°)=0.6.
The antinoise y amounts to:
y=−w
1
*∥H
1∥*cos(ρ+arg(H1))−w2*∥H2∥*cos(ρ+arg(H2))
y=−0.37*1.96 cos(0°−44.38°)−0.1*1.82 cos(0°−135.67°)=−0.4
From which it follows that:
Second recursion: ρ=45°
x=cos(45°)=0.7
x
in=0.86
y=−0.4*1.96 cos(45°−44.38°)−0.07*1.82 cos(45°−135.67°)=−0.78
e=0.08
w
1=0.4+0.1*1.96 cos(45°−44.38°)*0.08=0.42
w
2=0.07+0.1*1.82 cos(45°−135.67°)*0.08=0.07
Third recursion: ρ=90°
x=cos(90°)=0
x
in=0.62
y=0.42*1.96 cos(90°−44.38°)−0.07*1.82 cos(90°−135.67°)=−0.66
e=−0.04
w
1=0.42+0.1*1.96 cos(90°−44.38°)*−0.04=0.41
w
2=0.07+0.1*1.82 cos(90°−135.67°)*−0.04=0.07
After 12 recursions the change in square errors is less than about 1% of the total error variance. The filter weights converge to w1=0.43 and W2=0.02. The residual noise spectrum resulting from this at the example frequency is:
E(fexample)=(0.6−j0.62)−0.43(1.4−j1.37)−0.02(−1.3−j1.27)=0.02.
This corresponds to a residual noise of −36 dB or an active noise suppression of: −1 dB+36 dB=35 dB.
Two adaptively linkable parallel filters with a transfer function K2:
The transfer function of the interfering sound changes to K2. Adaption is continued from the previously converged filter weights.
First recursion: ρ=0°
x=cos(0)=1
x
in=1.14*cos(0°−20.46°)=1.1
y=−0.43*1.96 cos(0°−44.38°)−0.02*1.82 cos(0°−135.67°)=−0.58
e=x
in
+y=0.49
w
1,neu=0.43+0.1*1.96 cos(0°−44.38°)*0.49=0.5
w
2,neu=0.02+0.1*1.82 cos(0°−135.67°)*0.49=−0.04
Second recursion: ρ=45°
x=cos(45°)=0.7
x
in=1.04
y=−0.5*1.96 cos(45°−44.38°)+0.04*1.82 cos(45°−135.67°)=−0.99
e=0.05
w
1=0.5+0.1*1.96 cos(45°−44.38°)*0.05=0.51
w
2=−0.04+0.1*1.82 cos(45°−135.67°)*0.05=−0.04
Third recursion: ρ=90°
x=cos(90°)=0
x
in=0.4
y=−0.51*1.96 cos(90°−44.38°)+0.04*1.82 cos(90°−135.67°)=−0.65
e=−0.25
w
1=0.51+0.1*1.96 cos(90°−44.38°)*−0.25=0.48
w
2=0.04+0.1*1.82 cos(90°−135.67°)*−0.25=−0.08
After 12 recursions the square error remains below 1% of the total error variance. The filter weights converge subsequently to w1=0.52 and w2=−0.23. The following residual noise spectrum and the following ANC result from this:
E(fexample)(1.72−j0.4)−0.25(1.4−j1.37)+0.23(4.3−j1.27)=0.045−j0.013.
This corresponds to a residual noise of −26.6 dB and active noise suppression of +1 dB+26.6 dB=27.6 dB.
With the two adaptively linkable parallel filters, regardless of the two transfer functions K1 and K2, active noise suppression of 27.6 dB is therefore achieved.
While various embodiments have been described, it will be apparent to those of ordinary skill in the art that many more embodiments and implementations are possible and within the scope of what is describe. Accordingly, there should be no restrictions, except in light of the attached claims and their equivalents.
Number | Date | Country | Kind |
---|---|---|---|
EP 12 45 0035 | Jun 2012 | EP | regional |