Estimation of excitation parameters

• US 5,715,365 A
• Filed: 04/04/1994
• Issued: 02/03/1998
• Est. Priority Date: 04/04/1994
• Status: Expired due to Term

• Current Assignee: Digital Voice Systems, Inc.
• Original Assignee: Digital Voice Systems, Inc.
• Inventors: Griffin, Daniel Wayne, Lim, Jae S.
• Primary Examiner(s): Macdonald, Allen R.
• Assistant Examiner(s): Dorvil, Richemond
• Application Number:
  US08/222,119
• Time in Patent Office: 1,401 Days
• Field of Search: 395/2.14, 395/2.17, 395/2.23, 395/2.09, 395/2.32, 381/36-39
• US Class Current: 704/214
• CPC Class Codes: G10L 19/087 using mixed excitation models, e.g. MELP, MBE, split band LPC or HVXC
• CPC Class Codes: G10L 25/18 the extracted parameters being spectral information of each sub-band
• CPC Class Codes: G10L 25/21 the extracted parameters being power information
• CPC Class Codes: G10L 25/93 Discriminating between voiced and unvoiced parts of speech signals G10L25/90 takes precedence

Abstract

A method of encoding speech analyzes a digitized speech signal to determine excitation parameters for the digitized speech signal. The method includes dividing the digitized speech signal into at least two frequency bands, performing a nonlinear operation on at least one of the frequency bands to produce a modified frequency band, and determining whether the modified frequency band is voiced or unvoiced. The nonlinear operation is an operation that emphasizes a fundamental frequency of the digitized speech signal so that the modified frequency band signal includes a component corresponding to the fundamental frequency even when the at least one frequency band signal does not include such a component.

Claims

1. A method of analyzing a digitized speech signal to determine excitation parameters for the digitized speech signal, comprising the steps of:

dividing the digitized speech signal into at least two frequency band signals;

performing a nonlinear operation on at least one of the frequency band signals to produce at least one modified frequency band signal, wherein the nonlinear operation is an operation that emphasizes a fundamental frequency of the digitized speech signal so that the modified frequency band signal includes a component corresponding to the fundamental frequency even when the at least one frequency band signal does not include such a component; and

for at least one modified frequency band signal, determining whether the modified frequency band signal is voiced or unvoiced.

2. The method of claim 1, wherein the determining step is performed at regular intervals of time.

3. The method of claim 1, wherein the digitized speech signal is analyzed as a step in encoding speech.

4. The method of claim 1, further comprising the step of estimating the fundamental frequency of the digitized speech.

5. The method of claim 1, further comprising the step of estimating the fundamental frequency of at least one modified frequency band signal.

6. The method of claim 1, further comprising the steps of:

combining a modified frequency band signal with at least one other frequency band signal to produce a combined signal; and

estimating the fundamental frequency of the combined signal.

7. The method of claim 6, wherein the performing step is performed on at least two of the frequency band signals to produce at least two modified frequency band signals, and said combining step comprises combining at least the two modified frequency band signals.

8. The method of claim 6, wherein the combining step includes summing the modified frequency band signal and the at least one other frequency band signal to produce the combined signal.

9. The method of claim 6, further comprising the step of determining a signal-to-noise ratio for the modified frequency band signal and the at least one other frequency band signal, and wherein said combining step includes weighing the modified frequency band signal and the at least one other frequency band signal to produce the combined signal so that a frequency band signal with a high signal-to-noise ratio contributes more to the combined signal than a frequency band signal with a low signal-to-noise ratio.

10. The method of claim 6, wherein said determining step includes:

determining the voiced energy of the modified frequency band signal;

determining the total energy of the modified frequency band signal;

declaring the modified frequency band signal to be voiced when the voiced energy of the modified frequency band signal exceeds a predetermined percentage of the total energy of the modified frequency band signal; and

declaring the modified frequency band signal to be unvoiced when the voiced energy of the modified frequency band signal is equal or less than the predetermined percentage of the total energy of the modified frequency band signal.

11. The method of claim 10, wherein the voiced energy is the portion of the total energy attributable to the estimated fundamental frequency of the modified frequency band signal and any harmonics of the estimated fundamental frequency.

12. The method of claim 1, wherein said determining step includes:

determining the voiced energy of the modified frequency band signal;

determining the total energy of the modified frequency band signal;

declaring the modified frequency band signal to be voiced when the voiced energy of the modified frequency band signal exceeds a predetermined percentage of the total energy of the modified frequency band signal; and

declaring the modified frequency band signal to be unvoiced when the voiced energy of the modified frequency band signal is equal or less than the predetermined percentage of the total energy of the modified frequency band signal.

13. The method of claim 12, wherein the voiced energy of the modified frequency band signal is derived from a correlation of the modified frequency band signal with itself or another modified frequency band signal.

14. The method of claim 12, wherein, when said modified frequency band signal is declared to be voiced, said determining step further includes estimating a degree of voicing for the modified frequency band signal by comparing the voiced energy of the modified frequency band signal to the total energy of the modified frequency band signal.

15. The method of claim 1, wherein said performing step includes performing a nonlinear operation on all of the frequency band signals so that the number of modified frequency band signals produced by said performing step equals the number of frequency band signals produced by said dividing step.

16. The method of claim 1, wherein said performing step includes performing a nonlinear operation on only some of the frequency band signals so that the number of modified frequency band signals produced by said performing step is less than the number of frequency band signals produced by said dividing step.

17. The method of claim 16, wherein the frequency band signals on which a nonlinear operation is performed correspond to higher frequencies than the frequency band signals on which a nonlinear operation is not performed.

18. The method of claim 17, further comprising the step of, for frequency band signals on which a nonlinear operation is not performed, determining whether the frequency band signal is voiced or unvoiced.

19. The method of claim 1, wherein the nonlinear operation is the absolute value.

20. The method of claim 1, wherein the nonlinear operation is the absolute value squared.

21. The method of claim 1, wherein the nonlinear operation is the absolute value raised to a power corresponding to a real number.

22. The method of claim 1, further comprising the steps of:

performing a nonlinear operation on at least two of the frequency band signals to produce a first set of modified frequency band signals;

transforming the first set of modified frequency band signals into a second set of at least one modified frequency band signal;

for at least one modified frequency band signal in the second set, determining whether the modified frequency band signal is voiced or unvoiced.

23. The method of claim 22, wherein said transforming step includes combining at least two modified frequency band signals from the first set to produce a single modified frequency band signal in the second set.

24. The method of claim 22, further comprising the step of estimating the fundamental frequency of the digitized speech.

25. The method of claim 22, further comprising the steps of:

combining a modified frequency band signal from the second set of modified frequency band signals with at least one other frequency band signal to produce a combined signal; and

estimating the fundamental frequency of the combined signal.

26. The method of claim 22, wherein said determining step includes:

determining the voiced energy of the modified frequency band signal;

determining the total energy of the modified frequency band signal;

declaring the modified frequency band signal to be voiced when the voiced energy of the modified frequency band signal exceeds a predetermined percentage of the total energy of the modified frequency band signal; and

declaring the modified frequency band signal to be unvoiced when the voiced energy of the modified frequency band signal is equal or less than the predetermined percentage of the total energy of the modified frequency band signal.

27. The method of claim 26, wherein, when said modified frequency band signal is declared to be voiced, said determining step further includes estimating a degree of voicing for the modified frequency band signal by comparing the voiced energy of the modified frequency band signal to the total energy of the modified frequency band signal.

28. The method of claim 1, further comprising the step of encoding some of the excitation parameters.

29. A method of analyzing a digitized speech signal to determine excitation parameters for the digitized speech signal, comprising the steps of:

dividing the digitized speech signal into at least two frequency band signals;

performing a nonlinear operation on a first one of the frequency band signals to produce a first modified frequency band signal, wherein the nonlinear operation is an operation that emphasizes a fundamental frequency of the digitized speech signal so that the first modified frequency band signal includes a component corresponding to the fundamental frequency even when the first one of the frequency band signals does not include such a component;

combining the first modified frequency band signal and at least one other frequency band signal to produce a combined frequency band signal; and

estimating the fundamental frequency of the combined frequency band signal.

30. A method of analyzing a digitized speech signal to determine excitation parameters for the digitized speech signal, comprising the steps of:

dividing the digitized speech signal into at least two frequency band signals;

performing a nonlinear operation on at least one of the frequency band signals to produce at least one modified band signal, wherein the nonlinear operation is an operation that emphasizes a fundamental frequency of the digitized speech signal so that the modified frequency band signal includes a component corresponding to the fundamental frequency even when the at least one of the frequency band signals does not include such a component; and

estimating the fundamental frequency from at least one modified band signal.

31. A method of analyzing a digitized speech signal to determine the fundamental frequency for the digitized speech signal, comprising the steps of:

dividing the digitized speech signal into at least two frequency band signals;

performing a nonlinear operation on at least two of the frequency band signals to produce at least two modified frequency band signals, wherein the nonlinear operation is an operation that emphasizes a fundamental frequency of the digitized speech signal so that the modified frequency band signals include a component corresponding to the fundamental frequency even when the corresponding frequency band signal does not include such a component;

combining the at least two modified frequency band signals to produce a combined signal; and

estimating the fundamental frequency of the combined signal.

32. A system for encoding speech by analyzing a digitized speech signal to determine excitation parameters for the digitized speech signal, comprising:

means for dividing the digitized speech signal into at least two frequency band signals;

means for performing a nonlinear operation on at least one of the frequency band signals to produce at least one modified frequency band signal, wherein the nonlinear operation is an operation that emphasizes a fundamental frequency of the digitized speech signal so that the modified frequency band signal includes a component corresponding to the fundamental frequency even when the at least one frequency band signal does not include such a component; and

means for determining, for at least one modified frequency band signal, whether the modified frequency band signal is voiced or unvoiced.

33. The system of claim 32, further comprising:

means for combining the at least one modified frequency band signal with at least one other frequency band signal to produce a combined signal; and

means for estimating the fundamental frequency of the combined signal.

34. The system of claim 32, wherein the means for performing includes means for performing a nonlinear operation on only some of the frequency band signals so that the number of modified frequency band signals produced by the means for performing is less than the number of frequency band signals produced by the means for dividing.

35. The system of claim 34, wherein the frequency band signals on which the performing means performs a nonlinear operation correspond to higher frequencies than the frequency band signals on which the performing means does not perform a nonlinear operation.