Adaptive filter pitch extraction

• US 8,150,682 B2
• Filed: 05/11/2011
• Issued: 04/03/2012
• Est. Priority Date: 10/26/2004
• Status: Active Grant

• Current Assignee: Blackberry Limited
• Original Assignee: QNX Software Systems Limited (Canada) (Blackberry Limited)
• Inventors: Nongpiur, Rajeev, Hetherington, Phillip A.
• Primary Examiner(s): Dorvil, Richemond
• Assistant Examiner(s): COLUCCI, MICHAEL C
• Application Number:
  US13/105,612
• Publication Number:
  US 20110276324A1
• Time in Patent Office: 328 Days
• Field of Search: 375/230, 375/232, 375/240.25, 704/200.1, 704/205, 704/207, 704/209, 704/220, 704/222, 704/225, 704/226, 704/228, 704/230, 704/267, 704/500, 708/300, 708/322
• US Class Current: 704/207
• CPC Class Codes: G06Q 20/108 Remote banking, e.g. home banking
• CPC Class Codes: G10L 2021/02085 Periodic noise
• CPC Class Codes: G10L 25/90 Pitch determination of speech signals
• CPC Class Codes: H03H 21/0012 Digital adaptive filters

Abstract

An enhancement system extracts pitch from a processed speech signal. The system estimates the pitch of voiced speech by deriving filter coefficients of an adaptive filter and using the obtained filter coefficients to derive pitch. The pitch estimation may be enhanced by using various techniques to condition the input speech signal, such as spectral modification of the background noise and the speech signal, and/or reduction of the tonal noise from the speech signal.

Claims

1. A system for estimating pitch, comprising:

a discrete input configured to receive a speech signal;

a delay unit coupled with the discrete input and configured to delay the speech signal;

an adaptive filter coupled with the delay unit and configured to process the speech signal output from the delay unit; and

a pitch estimator comprising a processor configured to analyze adaptive filter coefficients that define a transfer function of the adaptive filter and estimate a pitch of the speech signal based on the adaptive filter coefficients.

2. The system of claim 1 where the pitch estimator is configured to locate a position of a peak in the adaptive filter coefficients and estimate the pitch of the speech signal based on the position of the peak.

3. The system of claim 1 where the adaptive filter is configured to generate an output signal based on the speech signal received from the delay unit and the adaptive filter coefficients that define the transfer function of the adaptive filter.

4. The system of claim 3 where the adaptive filter is configured to change, on a sample-by-sample basis, the adaptive filter coefficients based on a difference between the output signal and the speech signal received at the discrete input.

5. The system of claim 1 further comprising a low-pass filter coupled between the delay unit and the adaptive filter.

6. The system of claim 1 further comprising spectral modification logic coupled between the delay unit and the adaptive filter.

7. The system of claim 1 further comprising a programmable filter coupled to the delay unit and configured to process the speech signal output from the delay unit, where the programmable filter comprises a transfer function functionally related to the transfer function of the adaptive filter.

8. The system of claim 7 where the adaptive filter coefficients of the adaptive filter are copied to the programmable filter to match the transfer function of the programmable filter with the transfer function of the adaptive filter.

9. The system of claim 1 where the system is configured to add a noise to the speech signal before passing the speech signal through the adaptive filter.

10. The system of claim 1 where the pitch estimator is configured to estimate the pitch of the speech signal according to f_p=f_s/(D+k), where f_p is the estimated pitch of the speech signal, f_s is a sampling frequency, D is a number of samples that the speech signal has been delayed by the delay unit, and k is a position of a peak in the adaptive filter coefficients.

11. A system for estimating pitch, comprising:

an adaptive filter that comprises adaptive filter coefficients and an input configured to receive a speech signal, where the adaptive filter coefficients define a transfer function of the adaptive filter; and

a pitch estimator comprising a processor configured to analyze the adaptive filter coefficients and estimate a pitch of the speech signal based on the adaptive filter coefficients.

12. The system of claim 11 where the pitch estimator is configured to locate a position of a peak in the adaptive filter coefficients and estimate the pitch of the speech signal based on the position of the peak.

13. The system of claim 11 where the pitch estimator is configured to estimate the pitch of the speech signal according to f_p=f_s/(D+k), where f_p is the estimated pitch of the speech signal, f_s is a sampling frequency, D is a number of samples that the speech signal has been delayed, and k is a position of a peak in the adaptive filter coefficients.

14. The system of claim 11 where the adaptive filter is configured to generate an output signal based on the speech signal and the adaptive filter coefficients, and where the adaptive filter is configured to change, on a sample-by-sample basis, the adaptive filter coefficients based on a difference between the output signal and the speech signal.

15. A method for estimating pitch, the method comprising:

receiving a speech signal;

delaying the speech signal;

passing the delayed speech signal through an adaptive filter;

obtaining adaptive filter coefficients that define a transfer function of the adaptive filter; and

analyzing the adaptive filter coefficients by a processor to estimate a pitch of the speech signal based on the adaptive filter coefficients.

16. The method of claim 15 where analyzing the adaptive filter coefficients to estimate the pitch of the speech signal comprises:

locating a position of a peak in the adaptive filter coefficients; and

estimating the pitch of the speech signal based on the position of the peak.

17. The method of claim 15 where analyzing the adaptive filter coefficients to estimate the pitch of the speech signal comprises estimating the pitch of the speech signal according to f_p=f_s/(D+k), where f_p is the estimated pitch of the speech signal, f_s is a sampling frequency, D is a number of samples that the speech signal has been delayed, and k is a position of a peak in the adaptive filter coefficients.

18. The method of claim 15 further comprising:

generating an output signal from the adaptive filter based on the delayed speech signal and the adaptive filter coefficients that define the transfer function of the adaptive filter; and

changing, on a sample-by-sample basis, the adaptive filter coefficients based on a difference between the output signal and the speech signal.

19. The method of claim 15 further comprising passing the speech signal through a low-pass filter before passing the signal through the adaptive filter.

20. The method of claim 15 further comprising spectrally flattening the speech signal before passing the signal through the adaptive filter.