System for speech signal enhancement in a noisy environment through corrective adjustment of spectral noise power density estimations
View Patent ↗A system estimates the spectral noise power density of an audio signal includes a spectral noise power density estimation unit, a correction term processor, and a combination processor. The spectral noise power density estimation unit may provide a first estimate of the spectral noise power density of the audio signal. The correction term processor may provide a time dependent correction term based, at least in part, on a spectral noise power density estimation error of the actual spectral noise power density. The correction term may be determined so that the spectral noise power density estimation error is reduced. The combination processor may combine the first estimate with the correction term to obtain a second estimate of the spectral noise power density that may be used for subsequent signal processing to enhance a desired signal component of the audio signal.
1. A method for providing an estimate of a spectral noise power density of an audio signal, comprising:
providing a first estimate of the spectral noise power density of the audio signal {tilde over (S)} bb ;
determining a time dependent correction term based, at least in part, on a spectral noise power density estimation error of the spectral noise power density E n ;
summing the first estimate {tilde over (S)} bb and the correction term to obtain a second estimate of the spectral noise power density of the audio signal Ŝ bb ;
where the correction term is determined so that the spectral noise power density estimation error E n is reduced, and where E n is determined by at least one of E n =S bb −{tilde over (S)} bb and E n =S bb −Ŝ bb ,where S bb corresponds to the spectral noise power density of the audio signal,
where the audio signal comprises a wanted signal component and a noise component, and
where the correction term is based on:
an expectation value of the squared difference of the spectral noise power density and the first estimate of the spectral noise power density of the audio signal Ŝ bb , and
an expectation value of the squared spectral power density of the wanted signal component.
2. The method of claim 1 , where the correction term comprises a product of a correction factor K and a spectral power density estimation error E p .
3. The method of claim 1 , where the correction term is based, at least in part, on values comprising:
a variance of a relative spectral noise power density estimation error σ E nrel 2 ;
the first estimate of the spectral noise power density of the audio signal {tilde over (S)} bb ; and
the spectral signal power density of the audio signal S yy .
4. The method of claim 3 , where the audio signal comprises a wanted signal component and a noise component, and where the relative spectral noise power density estimation error is determined when the wanted signal component is not present in the audio signal.
5. The method of claim 1 , where the first estimate of the spectral noise power density {tilde over (S)} bb is a mean noise power density.
6. The method of claim 1 , where the first estimate of the spectral noise power density {tilde over (S)} bb is determined based, at least in part, on a minimum statistics method or a minimum tracking method.
7. The method of claim 1 , further comprising:
providing the second estimate Ŝ bb for use by a filter; and
filtering the audio signal based on the second estimate of the spectral noise power density Ŝ bb .
8. The method of claim 7 , where the filtering is performed using a Wiener filter having a filter characteristic based on the second estimate of the spectral noise power density of the audio signal Ŝ bb .
9. The method of claim 7 , where the filtering is performed using a minimal subtraction filter having a filter characteristic based on the second estimate of the spectral noise power density of the audio signal Ŝ bb .
10. A non-transitory computer readable medium including computer executable code for executing a method providing an estimate of a spectral noise power density of an audio signal, the method comprising:
providing a first estimate of the spectral noise power density of the audio signal {tilde over (S)} bb ;
determining a time dependent correction term based, at least in part, on a spectral noise power density estimation error of the spectral noise power density E n ;
summing the first estimate {tilde over (S)} bb and the correction term to obtain a second estimate of the spectral noise power density of the audio signal Ŝ bb ;
where the correction term is determined so that the spectral noise power density estimation error E n is reduced, and where E n is determined by at least one of E n =S bb −{tilde over (S)} bb and E bb−Ŝ bb , where S bb corresponds to the spectral noise power density of the audio signal,
where the audio signal comprises a wanted signal component and a noise component, and
where the correction term is based on:
an expectation value of the squared difference of the spectral noise power density and the first estimate of the spectral noise power density of the audio signal Ŝ bb , and
an expectation value of the squared spectral power density of the wanted signal component.
11. The computer readable medium of claim 10 , where the correction term comprises a product of a correction factor K and a spectral power density estimation errorE p .
12. The computer readable medium of claim 10 , where the correction term is based, at least in part, on values comprising:
a variance of a relative spectral noise power density estimation error σ E nrel 2 ;
the first estimate of the spectral noise power density of the audio signal{tilde over (S)} bb; and
and a spectral signal power density of the audio signal S yy .
13. The computer readable medium of claim 12 , where the audio signal comprises a wanted signal component and a noise component, and where the relative spectral noise power density estimation error is determined when the wanted signal component is not present in the audio signal.
14. The computer readable medium of claim 10 , where the first estimate of the spectral noise power density {tilde over (S)} bb is a mean noise power density.
15. The computer readable medium of claim 10 , where the first estimate of the spectral noise power density {tilde over (S)} bb is determined based, at least in part, on a minimum statistics method or a minimum tracking method.
16. The computer readable medium of claim 10 , where the method further comprises:
providing the second estimate {tilde over (S)} bb for use by a filter; and
filtering the audio signal based on the second estimate of the spectral noise power density Ŝ bb .
17. The computer readable medium of claim 16 , where the filtering is performed using a Wiener filter having a filter characteristic based on the second estimate of the spectral noise power density of the audio signal Ŝ bb .
18. The computer readable medium of claim 16 , where the filtering is performed using a minimal subtraction filter having a filter characteristic based on the second estimate of the spectral noise power density of the audio signal Ŝ bb .
19. An apparatus for providing an estimate of a spectral noise power density of an audio signal comprising:
a spectral noise power density estimation unit adapted to provide a first estimate of the spectral noise power density of the audio signal {tilde over (S)} bb ;
a correction term processor adapted to provide a time dependent correction term based, at least in part, on a spectral noise power density estimation error of the spectral noise power density E n ;
a combination processor for summing the first estimate {tilde over (S)} bb and the correction term to obtain a second estimate of the spectral noise power density of the audio signal Ŝ bb ;
where the correction term processor is adapted to determine the correction term so that the spectral noise power density estimation error E n is reduced, and where E n is determined by at least one of E n =S bb {tilde over (S)} bb and E n =S bb −Ŝ bb , where S bb corresponds to the spectral noise power density of the audio signal,
where the audio signal comprises a wanted signal component and a noise component, and
where the correction term is based on:
an expectation value of the squared difference of the spectral noise power density and the first estimate of the spectral noise power density of the audio signal Ŝ bb , and
an expectation value of the squared spectral power density of the wanted signal component.
20. The apparatus of claim 19 , further comprising a short-term frequency analysis unit adapted to provide an estimate of the current spectral power density of the audio signal.
21. A non-transitory computer readable medium including computer executable code for executing a method providing an estimate of a spectral noise power density of an audio signal having a wanted signal component and a noise component, the method comprising:
providing a first estimate of the spectral noise power density of the audio signal {tilde over (S)} bb ;
determining a time dependent correction term that is a product of a correction factor K and a spectral power density estimation error E p , wherein
K =( E{E n 2 })/(( E{E n 2 })+ E{S xx 2 }),
where E{ } corresponds to an operation of determining expection,
where E n corresponds to a spectral noise power density estimation error of the spectral noise power density E n=S bb −{tilde over (S)} bb ,
where S bb corresponds to spectral noise power density, and
where S xx corresponds to a spectral power density of the wanted signal component; and
combining the first estimate {tilde over (S)} bb and the correction term to obtain a second estimate of the spectral noise power density of the audio signal Ŝ bb :
Ŝ bb ={tilde over (S)} bb +KE p ,
wherein the correction term is determined so that the spectral noise power density estimation error E n is reduced.
22. A non-transitory computer readable medium including computer executable code for executing a method providing an estimate of a spectral noise power density of an audio signal, the method comprising:
providing a first estimate of the spectral noise power density of the audio signal {tilde over (S)} bb ;
determining a time dependent correction term that is a product of a correction factor K and a spectral power density estimation error E p , wherein
K =(σ E nrel 2 ×{tilde over (S)} bb 2 )/( S yy −{tilde over (S)} bb ),
where σ E nrel 2 corresponds to a variance of a relative spectral noise power density estimation error, and
where S yy corresponds to a spectral signal power density of the audio signal;
combining the first estimate {tilde over (S)} bb and the correction term to obtain a second estimate of the spectral noise power density of the audio signal Ŝ bb :
Ŝ bb ={tilde over (S)} bb +KE p ,
wherein the correction term is determined so that the spectral noise power density estimation error E n is reduced.