SYSTEM AND METHOD FOR CHANNEL EQUALIZATION USING CHARACTERISTICS OF AN UNKNOWN SIGNAL

• US 20140095161A1
• Filed: 09/28/2012
• Published: 04/03/2014
• Est. Priority Date: 09/28/2012
• Status: Abandoned Application

• Current Assignee: AT&T Intellectual Property I LP (AT&T, Inc.)
• Original Assignee: AT&T Intellectual Property I LP (AT&T, Inc.)
• Inventors: Waite, David, Salter, Helen
• Application Number:
  US13/630,840
• Publication Number:
  US 20140095161A1
• Time in Patent Office: Days
• US Class Current: 704/246
• CPC Class Codes: G10L 17/02 Preprocessing operations, e.g. segment selection; Pattern representation or modelling, e.g. based on linear discriminant analysis [LDA] or principal components; Feature selection or extraction
• CPC Class Codes: G10L 17/20 Pattern transformations or operations aimed at increasing system robustness, e.g. against channel noise or different working conditions

Abstract

Disclosed herein are systems and methods for identifying the source of a signal via channel equalization using characteristics of the signal. A system receives a signal, then measures a frequency response of the signal by performing a spectral analysis over the entire signal. The system computes the average amplitude over a subset of time samples from the spectral analysis for each represented frequency and compares the set of averaged amplitudes to a stored set of averaged amplitudes to produce equalization coefficients. Applying the equalization coefficients to the frequency response yields an equalized frequency response, which is compared to a stored frequency response using a classifier to determine a match. Alternately, the system applies the equalization coefficients to the stored frequency response yielding an equalized stored frequency response. The method can recognize speakers, vehicles, electromagnetic signals, sonar signals, optical signals, videos, etc.

Claims

1. A method comprising:

receiving a signal;

estimating a frequency response by performing a spectral analysis of the signal;

computing average amplitudes over a user-selectable subset of time samples for each frequency estimated by the spectral analysis;

comparing the averaged amplitudes to a stored set of averaged amplitudes, to yield equalization coefficients;

applying the equalization coefficients to the frequency response, to yield an equalized frequency response; and

comparing the equalized frequency response to a stored frequency response using a classifier.

2. The method of claim 1, wherein comparing the equalized frequency response to the stored frequency response yields a match result that indicates whether a match exists between the signal and a stored signal associated with the stored frequency response.

3. The method of claim 1, wherein the signal is one of a spoken utterance, a conversation, a sound, an audio, a video, a sonar signal, a light wave, and an electromagnetic signal.

4. The method of claim 2, wherein the match result is one of an affirmative match, a negative match, an affirmative confidence score, a negative confidence score, and a percentage match.

5. The method of claim 1, the method further comprising:

applying the equalization coefficients to the stored frequency response, to yield an equalized stored frequency response; and

determining an alternate match by comparing the equalized stored frequency response to the frequency response using a classifier.

6. The method of claim 1, wherein the signal is associated with an unidentified speaker.

7. The method of claim 1, wherein the stored frequency response is associated with an identified speaker.

8. A system comprising:

a processor; and

a computer-readable storage medium having instructions stored which, when executed by the processor, cause the processor to perform a method comprising;

receiving a signal;

estimating a frequency response by performing a spectral analysis of the signal;

computing average amplitudes over a user-selectable subset of time samples for each frequency estimated by the spectral analysis;

comparing the averaged amplitudes to a stored set of averaged amplitudes, to yield equalization coefficients;

applying the equalization coefficients to the frequency response, to yield an equalized frequency response; and

comparing the equalized frequency response to a stored frequency response using a classifier.

9. The system of claim 8, wherein comparing the equalized frequency response to the stored frequency response yields a match result that indicates whether a match exists between the signal and a stored signal associated with the stored frequency response.

10. The system of claim 8, wherein the signal is one of a spoken utterance, a conversation, a sound, an audio, a video, a sonar signal, a light wave, and an electromagnetic signal.

11. The system of claim 9, wherein the match result is one of an affirmative match, a negative match, an affirmative confidence score, a negative confidence score, and a percentage match.

12. The system of claim 8, the computer-readable storage medium having stored additional instructions which result in the method further comprising:

applying the inverse of the equalization coefficients to the stored frequency response, to yield an equalized stored frequency response; and

determining an alternate match by comparing the equalized stored frequency response to the frequency response using a classifier.

13. The system of claim 8, wherein the signal is associated with an unidentified speaker.

14. The system of claim 8, wherein the stored frequency response is associated with an identified speaker.

15. A computer-readable storage medium storing instructions which, when executed by a computing device, cause the computing device to perform a method comprising:

receiving a signal;

estimating a frequency response by performing a spectral analysis of the signal;

computing average amplitudes over a user-selectable subset of time samples for each frequency estimated by the spectral analysis;

comparing the averaged amplitudes to a stored set of averaged amplitudes, to yield equalization coefficients;

applying the equalization coefficients to the frequency response, to yield an equalized frequency response; and

comparing the equalized frequency response to a stored frequency response using a classifier.

16. The computer-readable storage medium of claim 15, wherein comparing the equalized frequency response to the stored frequency response yields a match result that indicates whether a match exists between the signal and a stored signal associated with the stored frequency response.

17. The computer-readable storage medium of claim 15, wherein the signal is one of a spoken utterance, a conversation, a sound, an audio, a video, a sonar signal, a light wave, and an electromagnetic signal.

18. The computer-readable storage medium of claim 16, wherein the match result is one of an affirmative match, a negative match, an affirmative confidence score, a negative confidence score, and a percentage match.

19. The computer-readable storage medium of claim 15, the computer-readable storage medium having additional instructions stored which result in the method further comprising:

applying the inverse of the equalization coefficients to the stored frequency response to yield an equalized stored frequency response; and

determining an alternate match by comparing the equalized stored frequency response to the frequency response using a classifier.

20. The computer-readable storage medium of claim 15, wherein the signal is associated with an unidentified speaker.