Sound processing based on a confidence measure

• US 9,589,580 B2
• Filed: 03/14/2011
• Issued: 03/07/2017
• Est. Priority Date: 03/14/2011
• Status: Active Grant

• Current Assignee: Cochlear Limited
• Original Assignee: Cochlear Limited
• Inventors: Hersbach, Adam A., Mauger, Stefan J., Heasman, John M., Dawson, Pam W.
• Primary Examiner(s): Shah, Paras D
• Application Number:
  US13/047,325
• Publication Number:
  US 20120239385A1
• Time in Patent Office: 2,185 Days
• Field of Search: 704/200, 704226-228, 704/231, 704/233, 381 941- 949, 381 98-104
• US Class Current: 1/1
• CPC Class Codes: G10L 25/84 for discriminating voice from noise
• CPC Class Codes: H04R 2225/43 Signal processing in hearing aids to enhance the speech intelligibility
• CPC Class Codes: H04R 2430/21 Direction finding using differential microphone array [DMA]
• CPC Class Codes: H04R 2460/01 Hearing devices using active noise cancellation
• CPC Class Codes: H04R 25/356 Amplitude, e.g. amplitude shift or compression
• CPC Class Codes: H04R 25/505 using digital signal processing

Abstract

A method for processing sound that includes, generating one or more noise component estimates relating to an electrical representation of the sound and generating an associated confidence measure for the one or more noise component estimates. The method further comprises processing, based on the confidence measure, the sound.

Claims

1. A sound signal processing method, comprising:

generating an electrical representation of a received sound signal;

determining a plurality of noise-component estimates for the received sound signal;

determining one or more confidence measures, wherein each of the one or more confidence measures is associated with at least one of the plurality of noise-component estimates and provides an indication of a reliability of the corresponding at least one noise-component estimate;

calculating a weighted sum of the plurality of noise-component estimates on the basis of the one or more confidence measures;

based on the weighted sum of the plurality of noise-component estimates, processing the electrical representation to provide a control signal; and

using the control signal to cause a stimulator component of a stimulating prosthesis to provide a stimulus to a recipient of the stimulating prosthesis.

2. The method of claim 1, wherein, for each of the plurality of noise-component estimates, generating the noise-component estimate comprises generating at least one signal-to-noise ratio estimate of the received sound signal.

3. The method of claim 1, wherein a high-value confidence measure is indicative of a more reliable noise-component estimate than is a low-value confidence measure.

4. The method of claim 1, wherein processing the electrical representation to provide the control signal comprises, scaling an effect applied to a frequency component of the electrical representation.

5. The method of claim 1, wherein processing the electrical representation to provide the control signal comprises, scaling a gain applied to the electrical representation.

6. The method of claim 1, wherein each of the one or more confidence measures is further based on a standard deviation of a plurality of differences, during a non-zero time period, between the energy of the input signal and one of the one or more noise-component estimates.

7. The method of claim 1, wherein each of the one or more confidence measures has a value between zero and one.

8. The method of claim 1, wherein the stimulating prosthesis comprises a hearing prosthesis.

9. A sound signal processing method comprising:

receiving a plurality of input signals, wherein each of the plurality of input signal represents one of a plurality of spectral components of a sound signal;

for each of the plurality of input signals, determining (i) an energy of the input signal over a non-zero time period, (ii) a psychoacoustic importance of a spectral component represented by the input signal, (iii) one or more noise estimates, and (iv) at least one confidence measure, wherein each confidence measure provides an indication of a reliability of at least one of the one or more noise estimates, and wherein a high-value confidence measure is indicative of a more reliable noise estimate than is a low-value confidence measure;

at least one of selecting or scaling a subset of the plurality of input signals based on at least (i) the energy of each of the plurality spectral components, (ii) the psychoacoustic importance of each of the plurality of input signals, and (iii) the at least one confidence measure for each of the plurality of input signals;

based on the subset of the plurality input signals, generating one or more stimuli; and

causing, with a hearing prosthesis, delivery of the one or more stimuli to a recipient.

10. The sound signal processing method of claim 9, wherein at least one of selecting or scaling a subset of the plurality of input signals comprises selecting the one or more input signals based on at least one additional channel characteristic for each of the plurality of input signals.

11. The sound signal processing method of claim 9, wherein the at least one of selecting or scaling the one or more input signals comprises selecting from the plurality of input signals up to a predetermined maximum number of input signals.

12. The sound signal processing method of claim 9, wherein, for each of the plurality of spectral components, the value indicating the psychoacoustic importance of the spectral component is a speech-importance weighting corresponding to a frequency of the spectral component.

13. The signal processing method of claim 9, wherein each confidence measure is further based on a standard deviation of a plurality of differences, during a non-zero time period, between the energy of the input signal and one of the one or more noise-component estimates.

14. A sound signal processing method, comprising:

generating an electrical representation of a received sound signal;

determining one or more noise-component estimates for the received sound signal;

determining one or more confidence measures, wherein each of the one or more confidence measures is based on a standard deviation of a plurality of differences, during a non-zero time period, between the energy of the received sound signal and one of the one or more noise-component estimates, and wherein each of the one or more confidence measures provides an indication of a reliability of one of the one or more noise-component estimates,

based on at least one of the one or more confidence measures, processing the electrical representation to provide a control signal; and

using the control signal to cause a stimulator component of a stimulating prosthesis to provide a stimulus to a recipient of the stimulating prosthesis.

15. The method of claim 14, wherein processing the electrical representation to provide the control signal comprises, scaling an effect applied to a frequency component of the electrical representation.

16. The method of claim 14, wherein processing the electrical representation to provide the control signal comprises, scaling a gain applied to the electrical representation.

17. The method of claim 14, wherein, for each of the one or more noise-component estimates, generating the noise-component estimate comprises generating at least one signal-to-noise ratio estimate of the received sound signal.

18. The method of claim 14, wherein each of the one or more confidence measures has a value between zero and one.

19. The method of claim 14, wherein the stimulating prosthesis comprises a hearing prosthesis.