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The present technology provides adaptive noise reduction of an acoustic signal using a sophisticated level of control to balance the tradeoff between speech loss distortion and noise reduction. The energy level of a noise component in a sub-band signal of the acoustic signal is reduced based on an e

The present technology provides adaptive noise reduction of an acoustic signal using a sophisticated level of control to balance the tradeoff between speech loss distortion and noise reduction. The energy level of a noise component in a sub-band signal of the acoustic signal is reduced based on an estimated signal-to-noise ratio of the sub-band signal, and further on an estimated threshold level of speech distortion in the sub-band signal. In various embodiments, the energy level of the noise component in the sub-band signal may be reduced to no less than a residual noise target level. Such a target level may be defined as a level at which the noise component ceases to be perceptible.

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1. A method for reducing noise within an acoustic signal, comprising: separating, via at least one computer hardware processor, an acoustic signal into a plurality of sub-band signals, the acoustic signal representing at least one captured sound; andreducing an energy level of a noise component in a

1. A method for reducing noise within an acoustic signal, comprising: separating, via at least one computer hardware processor, an acoustic signal into a plurality of sub-band signals, the acoustic signal representing at least one captured sound; andreducing an energy level of a noise component in a sub-band signal in the plurality of sub-band signals based on an estimated threshold level of speech loss distortion in the sub-band signal, the reducing being in response to determining that speech loss distortion above a threshold would otherwise result if an amount of noise reduction was increased or maintained, the speech loss distortion being excessive when above the threshold. 2. The method of claim 1, wherein the reducing is further based on an estimated signal-to-noise ratio of the sub-band signal. 3. The method of claim 1, wherein the speech loss distortion, that is limited by the method, arises when speech components, that are lower in energy level than the noise, are suppressed during the noise reduction. 4. The method of claim 1, wherein the reducing the energy level of the noise component in the sub-band signal in the plurality of sub-band signals comprises applying a reduction value to the sub-band signal. 5. The method of claim 4, wherein the applying the reduction value comprises performing noise cancellation of the sub-band signal based on the reduction value. 6. The method of claim 5, further comprising multiplying another reduction value to the sub-band signal to further reduce the energy level of the noise component. 7. The method of claim 4, wherein the applying the reduction value comprises multiplying the reduction value to the sub-band signal. 8. The method of claim 4, wherein the energy level of the noise component in the sub-band signal is reduced to no less than a residual noise target level. 9. The method of claim 8, further comprising: determining a first value for the reduction value based on an estimated signal-to-noise ratio and the estimated threshold level of speech loss distortion;determining a second value for the reduction value based on reducing the energy level of the noise component in the sub-band signal to the residual noise target level; andselecting one of the first value and the second value as the reduction value. 10. The method of claim 8, wherein the residual noise target level is below an audible level. 11. The method of claim 4, wherein the reduction value is further based on estimated power spectral densities for the noise component and for a speech component in the sub-band signal. 12. A system for reducing noise within an acoustic signal, comprising: a frequency analysis module stored in memory and executed by at least one hardware processor to separate the acoustic signal into a plurality of sub-band signals, the acoustic signal representing at least one captured sound; anda noise reduction module stored in memory and executed by a processor to reduce an energy level of a noise component in a sub-band signal in the plurality of sub-band signals based on an estimated threshold level of speech loss distortion in the sub-band signal, the reducing being in response to determining that speech loss distortion above a threshold would otherwise result if an amount of noise reduction was increased or maintained, the speech loss distortion being excessive when above the threshold. 13. The system of claim 12, wherein the reducing is further based on an estimated signal-to-noise ratio of the sub-band signal. 14. The system of claim 12, wherein the speech loss distortion, that is limited by the system, arises when speech components, that are lower in energy level than the noise, are suppressed during the noise reduction. 15. A non-transitory computer readable storage medium having embodied thereon a program, the program being executable by a processor to perform a method for reducing noise within an acoustic signal, the method comprising: separating the acoustic signal into a plurality of sub-band signals, the acoustic signal representing at least one captured sound; andreducing an energy level of a noise component in a sub-band signal in the plurality of sub-band signals based on an estimated threshold level of speech loss distortion in the sub-band signal, the reducing being in response to determining that speech loss distortion above a threshold would otherwise result if an amount of noise reduction was increased or maintained, the speech loss distortion being excessive when above the threshold. 16. The non-transitory computer readable storage medium of claim 15, wherein the reducing is further based on an estimated signal-to-noise ratio of the sub-band signal. 17. The non-transitory computer readable storage medium of claim 15, wherein the speech loss distortion, that is limited by the method, arises when speech components, that are lower in energy level than the noise, are suppressed during the noise reduction.