Pitch mark determination using a fundamental frequency based adaptable filter

• US 7,043,424 B2
• Filed: 06/03/2002
• Issued: 05/09/2006
• Est. Priority Date: 12/14/2001
• Status: Expired due to Fees

• Current Assignee: Industrial Technology Research Institute
• Original Assignee: Industrial Technology Research Institute
• Inventors: Chen, Jau-Hung, Kao, Yung-An
• Primary Examiner(s): Chawan, Vijay
• Assistant Examiner(s): Opsasnick, Michael N.
• Application Number:
  US10/158,883
• Publication Number:
  US 20030125934A1
• Time in Patent Office: 1,436 Days
• Field of Search: 704206-209, 704/211, 704213-218, 704/220, 704267- 26
• US Class Current: 704/207
• CPC Class Codes: G10L 25/90 Pitch determination of speech signals

Abstract

A method of pitch mark determination for a speech includes the following steps. First, a fundamental frequency and fundamental frequency passband signals are acquired by using an adaptable filter. Then, a number of passing zero positions of the fundamental frequency passband signals are detected. After that, at least a candidate set of pitch marks from a number of passing zero positions are generated. Lastly, the candidate set of pitch marks is estimated to generate the best set of pitch marks.

Claims

1. A method of pitch mark determination for a speech signal, the method comprising the steps of:

acquiring a fundamental frequency and a plurality of fundamental frequency passband signals by using an adaptable filter;

detecting a plurality of passing zero positions of the fundamental frequency passband signals;

generating at least a candidate set of pitch marks from a plurality of passing zero positions, the generating step including;

finding a highest position and a second highest position of the speech signals, using the passing zero positions, and

finding a lowest position and a second lowest position of the speech signals, using the passing zero positions; and

estimating the candidate set of pitch marks to generate a set of pitch marks by respectively calculating an aggregate error of each set of pitch marks, and then generating a corresponding set of pitch marks with a smallest aggregate error;

wherein calculating the aggregate error is by separately calculating an aggregate error of the wave peak of the speech signals and an aggregate error of the wave trough of the speech signals.

2. The method according to claim 1, wherein the aggregate error of the wave peak is a sum of the following in each predicted period:

an amplitude ratio of the lowest wave trough and the highest wave peak of the speech signals, an amplitude ratio of the second highest wave peak and the highest wave peak of the speech signals, and an error between a wave-peak period and the predicted period.

3. The method according to claim 2, wherein the wave-peak period is the distance between two wave-peak pitch marks.

4. The method according to claim 2, wherein the predicted period is the distance between a passing zero point and a passing zero point after the next passing zero point.

5. The method according to claim 1, wherein the aggregate error of the wave trough is a sum of the following in each predicted period:

an amplitude ratio of the highest wave peak and the lowest wave trough of the speech signals, an amplitude ratio of the second lowest wave trough and the lowest wave trough of the speech signals, and an error between a wave-trough period and the predicted period.

6. The method according to claim 5, wherein the predicted period is the distance between a passing zero point and a passing zero point after the next passing zero point.

7. The method according to claim 5, wherein the wave-trough period is the distance between two wave-trough pitch marks.

8. The method according to claim 1, wherein the step of acquiring the fundamental frequency and the fundamental frequency passband signals by using the adaptable filter further comprises the following steps:

capturing a plurality of speech signals of the speech and generating a first function;

finding the fundamental frequency by performing a transform function on the first function;

retaining a plurality of spectrum points near a fundamental frequency point and generating a second function; and

finding fundamental passband frequency signals by performing an inverse transform function on the second function.

9. The method according to claim 8, wherein the spectrum points near the fundamental frequency point lie between the range [3, the fundamental frequency point+2] and the range [N−

(the fundamental frequency point+2), N−

3], which corresponds to the first function after transformation, while the number of the speech signals is N.

10. The method according to claim 9, wherein the fundamental frequency point is a position with maximum energy found in a corresponding fundamental frequency range.

11. The method according to claim 9, wherein the fundamental frequency passband signals are the real part of the speech signals in the range [N/4, 3N/4] except the N/2 speech signals.