Robust noise estimation
View Patent ↗An enhancement system improves the estimate of noise from a received signal. The system includes a spectrum monitor that divides a portion of the signal at more than one frequency resolution. Adaptation logic derives a noise adaptation factor of the received signal. A plurality of devices tracks the characteristics of an estimated noise in the received signal and modifies multiple noise adaptation rates. Weighting logic applies the modified noise adaptation rates derived from the signal divided at a first frequency resolution to the signal divided at a second frequency resolution.
1. An enhancement system operative to estimate noise, comprising:
a spectrum monitor operative to divide a portion of a received signal at more than one frequency resolution;
a plurality of logical devices programmed to track characteristics of an estimated noise in the received signal and modify a plurality of noise adaptation rates of portions of the received signal divided at a first frequency resolution; and
a limiting logic operative to constrain the modified plurality of noise adaptation rates.
2. The system of claim 1 where some of the plurality of logical devices compensate for inexact changes to the modified plurality of noise adaptation rates.
3. The system of claim 1 where one of the plurality of logical devices comprises noise-as-an-estimate-of-the-signal logic.
4. The system of claim 1 where one of the plurality of logical devices comprises temporal variability logic.
5. The system of claim 1 where one of the plurality of logical devices comprises time in transient logic.
6. The system of claim 1 where one of the plurality of logical devices comprises peer pressure logic.
7. The system of claim 1 where one of the plurality of logical devices comprises a device operative to detect spectral changes through an inertial prediction.
8. The system of claim 1 further comprising a weighting logic applied to one or more of the tracked characteristics of the estimated noise in the received signal, the weighting logic being operative to derive a value that when compared to a predetermined threshold indicates a presence of speech.
9. The system of claim 8 where the weighting logic is applied to each of one or more of the tracked characteristics of the estimated noise in the received signal at each of the more than one frequency resolution, and the weighting logic is further operative to derive the value from the tracked characteristics of the estimated noise in the received signal at each of the more than one frequency resolution that when compared to the predetermined threshold indicates the presence of speech.
10. The system of claim 8 where the weighting logic comprises an A-weighting logic and a smoothing element operative to temporally smooth a noise-as-an-estimate-of-the-signal and to derive an indicator signal indicating the presence of speech.
11. The system of claim 1 where the plurality of logical devices comprise circuitry operable to modify the plurality of noise adaptation rates.
12. The system of claim 1 where the plurality of logical devices comprise a computer processor that executes instructions stored on a non-transitory computer-readable medium to modify the plurality of noise adaptation rates.
13. An enhancement system operative to estimate noise, comprising:
a spectrum monitor operative to divide a portion of a received signal into wide bands and narrow bands;
a first logic configured with an inverse square function and operative to modify a plurality of noise adaptation rates of portions of the received signal based on a variance;
a second logic operative to modify the plurality of noise adaptation rates based on temporal characteristics;
a peer pressure logic operative to modify the plurality of noise adaptation rates based on trend characteristics; and
a temporal inertia logic operative to modify the plurality of noise adaptation rates based on predicted adaptation trends.
14. The system of claim 13 where the peer pressure logic is operative to modify narrow band noise estimates based on trend characteristics and the modified noise adaptation rates of nearby wide bands, narrow bands, or both.
15. The system of claim 13 where the first logic comprises noise-as-an-estimate-of-the-signal logic.
16. The system of claim 13 where the second logic comprises temporal variability logic.
17. The system of claim 13 where the third logic comprises time-in-transient logic.
18. The system of claim 13 where the temporal characteristics comprise an amount of time a wide band signal estimate has been above a wide band noise estimate by a predetermined level.
19. The system of claim 13 where the peer pressure logic comprises weighting logic.
20. The system of claim 13 where at least one of the first logic, the second logic, the peer pressure logic, or the temporal inertia logic comprises circuitry operable to modify the plurality of noise adaptation rates.
21. The system of claim 13 where at least one of the first logic, the second logic, the peer pressure logic, or the temporal inertia logic comprises a computer processor that executes instructions stored on a non-transitory computer-readable medium to modify the plurality of noise adaptation rates.
22. An enhancement method operative to estimate noise, comprising:
dividing a portion of a received signal into wide bands and narrow bands;
modifying a plurality of noise adaptation rates of portions of the received signal based on variances;
modifying the plurality of noise adaptation rates based on temporal characteristics; and
modifying the plurality of noise adaptation rates based on trend characteristics;
where at least one of the steps of modifying based on variances, modifying based on temporal characteristics, or modifying based on trend characteristics is performed by a computer processor that executes instructions stored on a non-transitory computer-readable medium to modify the plurality of noise adaptation rates.
23. The enhancement method of claim 22 further comprising deriving a noise adaptation factor of the received signal, where the noise adaptation factor is based on an inverse square function.