Method and Apparatus for Adjusting Trigger Parameters for Voice Recognition Processing Based on Noise Characteristics

• US 20140278389A1
• Filed: 12/27/2013
• Published: 09/18/2014
• Est. Priority Date: 03/12/2013
• Status: Abandoned Application

• Current Assignee: Google Technology Holdings LLC (Alphabet Inc.)
• Original Assignee: Motorola Mobility LLC (Lenovo Group Ltd.)
• Inventors: Zurek, Robert A., Clark, Joel A., Kamdar, Pratik M., Singaraju, Snehitha
• Application Number:
  US14/142,177
• Publication Number:
  US 20140278389A1
• Time in Patent Office: Days
• US Class Current: 704/231
• CPC Class Codes: G10L 15/20 Speech recognition techniques specially adapted for robustness in adverse environments, e.g. in noise, of stress induced speech G10L21/02 takes precedence

Abstract

A method and apparatus for adjusting a trigger parameter related to voice recognition processing includes receiving into the device an acoustic signal comprising a speech signal, which is provided to a voice recognition module, and comprising noise. The method further includes determining a noise profile for the acoustic signal, wherein the noise profile identifies a noise level for the noise and identifies a noise type for the noise based on a frequency spectrum for the noise, and adjusting the voice recognition module based on the noise profile by adjusting a trigger parameter related to voice recognition processing.

Claims

1. A method performed by a device for adjusting a trigger parameter related to voice recognition processing, the method comprising:

receiving into the device an acoustic signal comprising a speech signal, which is provided to a voice recognition module, and comprising noise;

determining a noise profile for the acoustic signal, wherein the noise profile identifies a noise level for the noise and identifies a noise type for the noise; and

adjusting the voice recognition module based on the noise profile by adjusting a trigger parameter related to voice recognition processing.

2. The method of claim 1, wherein the noise type is determined based on at least one of:

a frequency spectrum for the noise;

or

temporal information for the noise.

3. The method of claim 1, wherein the noise type comprises a stationarity of the noise, wherein the stationarity of the noise is determined based on time averages of energy for the noise on different time intervals for the noise.

4. The method of claim 1, wherein the trigger parameter comprises a trigger threshold.

5. The method of claim 4, wherein the trigger threshold comprises at least one of:

a trigger threshold for phoneme detection;

a trigger threshold for phrase matching;

or

a trigger threshold for speaker verification.

6. The method of claim 4, wherein the trigger threshold is adjusted based on the noise level.

7. The method of claim 6, wherein the trigger threshold is adjusted based on at least one of a continuous function of the noise level or a step function of the noise level.

8. The method of claim 4, wherein the noise type comprises a stationarity of the noise, and the trigger threshold is adjusted based on the stationarity of the noise.

9. The method of claim 8, wherein the trigger threshold is made more discriminating when the noise is determined to be stationary relative to when the noise is determined to be non-stationary.

10. The method of claim 8, wherein the trigger threshold is made less discriminating when the noise is determined to be stationary relative to when the noise is determined to be non-stationary.

11. The method of claim 8, wherein the trigger threshold is further adjusted based on the noise level, wherein when the noise is determined to be non-stationary, the trigger threshold is adjusted based on a first function of the noise level, and when the noise is determined to be stationary, the trigger threshold is adjusted based on a second function of the noise level, wherein the first function is different than the second function, and the first function and second function comprises a combination of one of:

the first function comprises a first step function of the noise level, and the second function comprises a second step function of the noise level;

the first function comprises a first continuous function of the noise level, and the second function comprises a second continuous function of the noise level;

the first function comprises a step function of the noise level, and the second function comprises a continuous function of the noise level;

or

the first function comprises a continuous function of the noise level, and the second function comprises a step function of the noise level.

12. The method of claim 4 further comprising:

determining a motion profile;

determining a motion environment profile from the noise profile and the motion profile, wherein the motion environment profile indicates at least one of a transportation mode or whether the device is inside or outside; and

further adjusting the trigger threshold based on the motion environment profile.

13. The method of claim 12, wherein the motion environment profile indicates whether the device is in a private environment with fewer than a first threshold number of speakers or a public environment with greater than the first threshold number of speakers, wherein the trigger threshold is made less discriminating when the device is determined to be in a private environment relative to when the device is determined to be in a public environment.

14. The method of claim 1, wherein the trigger parameter comprises a trigger delay, wherein the trigger delay is adjusted based on the noise level.

15. The method of claim 14, wherein the trigger delay is adjusted based on a decreasing function of the noise level such that a first trigger delay associated with a first noise level is greater than a second trigger delay associated with a second noise level when the second noise level is greater than the first noise level.

16. The method of claim 14, wherein the trigger delay is adjusted based on an increasing function of the noise level such that a first trigger delay associated with a first noise level is less than a second trigger delay associated with a second noise level when the second noise level is greater than the first noise level.

17. The method of claim 15, wherein the decreasing function of the noise level is a decreasing continuous function of the noise level or a decreasing step function of the noise level.

18. The method of claim 1, wherein the noise type comprises a stationarity of the noise, and the trigger parameter comprises a trigger delay, wherein the trigger delay is adjusted based on the stationarity of the noise.

19. The method of claim 18, wherein the trigger delay is adjusted based on a decreasing function of the non-stationarity of the noise such that a first trigger delay associated with a stationary noise is greater than a second trigger delay associated with a non-stationarity noise.

20. The method of claim 18, wherein the trigger delay is adjusted based on an increasing function of the non-stationarity of the noise such that a first trigger delay associated with a stationary noise is less than a second trigger delay associated with a non-stationarity noise.

21. The method of claim 19, wherein the decreasing function of the non-stationarity of the noise is decreasing continuous function of the non-stationarity of the noise or a decreasing step function of the stationarity of the noise.

22. A device configured to perform voice recognition, the device comprising:

at least one acoustic transducer configured to receive an acoustic signal comprising a speech signal and noise;

a voice-recognition module configured to perform voice recognition processing on the speech signal; and

a processing element configured to;

determine a noise profile for the acoustic signal, wherein the noise profile identifies a level and stationarity of the noise; and

adjust the voice recognition module by adjusting a trigger threshold related to voice recognition based on the noise profile, wherein the trigger threshold comprises at least one of a trigger threshold for phoneme detection, a trigger threshold for phrase matching, or a trigger for speaker verification.

23. The device of claim 22, wherein the processing element is further configured to:

adjust the at least one trigger threshold by making the at least one trigger threshold more discriminating when the noise is determined to be stationary relative to when the noise is determined to be non-stationary;

or

adjust the at least one trigger threshold by making the at least one trigger threshold less discriminating when the level of noise is determined to be higher relative to when the level of noise is determined to be lower, wherein the adjusting is based on at least one of a step function of the level of noise or a continuous function of the level of noise.