Claims
- 1. A method for discriminating voice from tone, the method comprising the steps of:
receiving an input signal; generating a prediction signal for modeling a signal wherein the signal is one of a tone signal and a speech signal; comparing the input signal and the prediction signal; generating an error signal based on the input signal and the prediction signal; and detecting a voice signal when the error signal is above a predetermined threshold value.
- 2. The method of claim 1 further comprising the steps of:
determining a duration associated with the error signal; and determining whether the duration is above a predetermined time threshold for detecting the voice signal.
- 3. The method of claim 2, wherein the predetermined time threshold is approximately 128 milliseconds.
- 4. The method of claim 1, further comprising the step of:
determining a start of the voice signal.
- 5. The method of claim 1, wherein the error signal is a normalized error signal.
- 6. The method of claim 1 further comprising the step of:
distinguishing a noise signal from the input signal.
- 7. The method of claim 6, further comprising the step of:
implementing a noise floor of approximately 6 dB.
- 8. The method of claim 1, wherein the step of generating an error signal further comprises the steps of:
calculating a normalized mean square error value for each sample for each subframe, and accumulating the normalized mean square error value for each sample for generating the error signal.
- 9. The method of claim 8, wherein each subframe comprises approximately 8 samples.
- 10. The method of claim 1, wherein the step of generating a predicted signal further comprises the step of:
implementing a normalized least mean square function.
- 11. The method of claim 1, wherein the error signal is computed as:
- 12. The method of claim 11, wherein w(n+1) is represented by w(n)+μu(n)e*(n)/(a+∥u(n)∥2) where μ represents an adaptation constant; where a represents a positive constant.
- 13. A system for discriminating voice from tone, the system comprising:
a filter for receiving an input signal; a prediction filter for generating a prediction signal for modeling a signal wherein the signal is one of a tone signal and a speech signal; a module for comparing the input signal and the prediction signal and for generating an error signal based on the input signal and the prediction signal; wherein a voice signal is detected when the error signal is above a predetermined threshold value.
- 14. The system of claim 13 wherein the module determines a duration associated with the error signal and determines whether the duration is above a predetermined time threshold for detecting the voice signal.
- 15. The system of claim 14, wherein the predetermined time threshold is approximately 128 milliseconds.
- 16. The system of claim 13, where a start of the voice signal is determined.
- 17. The system of claim 13, wherein the error signal is a normalized error signal.
- 18. The system of claim 13, wherein the filter distinguishes a noise signal from the input signal.
- 19. The system of claim 18, wherein the filter implements a noise floor of approximately 6 dB.
- 20. The system of claim 13, wherein the module calculates a normalized mean square error value for each sample for each subframe, and accumulates the normalized mean square error value for each sample for generating the error signal.
- 21. The system of claim 20, wherein each subframe comprises approximately 8 samples.
- 22. The system of claim 13, wherein the prediction filter implements a normalized least mean square function.
- 23. The system of claim 13, wherein the error signal is computed as:
- 24. The system of claim 23, wherein w(n+1) is represented by w(n)+μu(n)e*(n)/(a+∥u(n)∥2) where μ represents an adaptation constant; where a represents a positive constant.
- 25. The system of claim 13 wherein the prediction filter is an adaptive prediction filter.
CROSS-REFERENCE TO RELATED APPLICATIONS
[0001] This patent application claims priority to U.S. Provisional Patent Application No. 60/325,157, filed Sep. 28, 2001, which is hereby incorporated by reference in its entirety.
Provisional Applications (1)
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Number |
Date |
Country |
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60325157 |
Sep 2001 |
US |