IP Library Granted Patent US 10,109,271
Granted Patent B2
US 10,109,271 · App. 14/281,026 · Granted Oct 23, 2018

Frame erasure concealment technique for a bitstream-based feature extractor

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Quick Facts
Patent No.
US 10,109,271
App. No.
14/281,026
Granted
Oct 23, 2018
Kind
B2
Abstract

A frame erasure concealment technique for a bitstream-based feature extractors in a speech recognition system particularly suited for use in a wireless communication system operates to “delete” each frame in which an erasure is declared. The deletions thus reduce the length of the observation sequence, but have been found to provide for sufficient speech recognition based on both single word and “string” tests of the deletion technique.

Claims (42)

1. A method comprising:

receiving, at a speech processing system, a speech signal representing audible speech;

measuring, via a processor of the speech processing system, a distance between first line spectrum pair coefficients of a first frame and second line spectrum pair coefficients of a second frame representative of the speech signal in a bitstream, wherein the first frame and the second frame are adjacent frames;

comparing, via the processor of the speech processing system, the distance to a steady-state threshold distance, wherein the steady-state threshold distance identifies a steady-state region;

when the distance is one of less than or equal to the steady-state threshold distance, deleting one of the first line spectrum pair coefficients and the second line spectrum pair coefficients from the bitstream to yield a modified bitstream that represents the speech signal; and

performing automatic speech recognition of the speech signal by processing, via the processor of the speech processing system, the modified bitstream.

2. The method of claim 1 , wherein the distance is further measured using an empirical mean value of the first line spectrum pair coefficients and the second line spectrum pair coefficients.

3. The method of claim 2 , wherein the distance is further measured using a forgetting value applied to a final calculation result.

4. The method of claim 1 , further comprising:

computing a probability of an observation sequence according to a decoding algorithm in response to detecting the frame is deleted in a particular speech signal.

5. The method of claim 4 , further comprising:

decoding the observation sequence according to a hidden Markov model process.

6. The method of claim 5 , wherein deleting the first line spectrum pair coefficients further comprises:

determining an error in bits most sensitive to error within a plurality of frames; and

declaring a frame erasure associated with the first line spectrum pair coefficients.

7. The method of claim 6 , wherein the bits most sensitive to error in the plurality of frames comprises line spectrum pair information bits and gain information bits.

8. A speech processing system comprising:

a processor; and

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

receiving a speech signal representing audible speech;

measuring a distance between first line spectrum pair coefficients of a first frame and second line spectrum pair coefficients of a second frame representative of the speech signal in a bitstream, wherein the first frame and the second frame are adjacent frames;

comparing the distance to a steady-state threshold distance, wherein the steady-state threshold distance identifies a steady-state region;

when the distance is one of less than or equal to the steady-state threshold distance, deleting one of the first line spectrum pair coefficients and the second line spectrum pair coefficients from the bitstream to yield a modified bitstream that represents the speech signal; and

performing automatic speech recognition of the speech signal by processing the modified bitstream.

9. The speech processing system of claim 8 , wherein the distance is further measured using an empirical mean value of the first line spectrum pair coefficients and the second line spectrum pair coefficients.

10. The speech processing system of claim 9 , wherein the distance is further measured using a forgetting value applied to a final calculation result.

11. The speech processing system of claim 8 , the computer-readable storage medium having additional instructions stored which, when executed by the processor, result in operations comprising:

computing a probability of an observation sequence according to a decoding algorithm in response to detecting the frame is deleted in a particular speech signal.

12. The speech processing system of claim 11 , the computer-readable storage medium having additional instructions stored which, when executed by the processor, result in operations further comprising:

decoding the observation sequence according to a hidden Markov model process.

13. The speech processing system of claim 12 , wherein deleting the first line spectrum pair coefficients further comprises:

determining an error in bits most sensitive to error within a plurality of frames; and

declaring a frame erasure associated with the first line spectrum pair coefficients.

14. The speech processing system of claim 13 , wherein the bits most sensitive to error in the plurality of frames comprises line spectrum pair information bits and gain information bits.

15. A computer-readable storage device having instructions stored which, when executed by a speech processing computing device, cause the speech processing computing device to perform operations comprising:

receiving a speech signal representing audible speech;

measuring a distance between first line spectrum pair coefficients of a first frame and second line spectrum pair coefficients of a second frame representative of the speech signal in a bitstream, wherein the first frame and the second frame are adjacent frames;

comparing the distance to a steady-state threshold distance, wherein the steady-state threshold distance identifies a steady-state region;

when the distance is one of less than or equal to the steady-state threshold distance, deleting one of the first line spectrum pair coefficients and the second line spectrum pair coefficients from the bitstream to yield a modified bitstream that represents the speech signal; and

performing automatic speech recognition of the speech signal by processing the modified bitstream.

16. The computer-readable storage device of claim 15 , wherein the distance is further measured using an empirical mean value of the first line spectrum pair coefficients and the second line spectrum pair coefficients.

17. The computer-readable storage device of claim 15 , wherein the distance is further measured using a forgetting value applied to a final calculation result.

Assignments (8)
RELEASE (REEL 067417 / FRAME 0303) Recorded Jan 2, 2025
From: WELLS FARGO BANK, NATIONAL ASSOCIATION
To: CERENCE OPERATING COMPANY
Reel/Frame 069797/0422 →
SECURITY AGREEMENT Recorded Apr 15, 2024
From: CERENCE OPERATING COMPANY
To: WELLS FARGO BANK, N.A., AS COLLATERAL AGENT
Reel/Frame 067417/0303 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Aug 28, 2023
From: NUANCE COMMUNICATIONS, INC.
To: CERENCE OPERATING COMPANY
Reel/Frame 064723/0519 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Apr 15, 2021
From: NUANCE COMMUNICATIONS, INC.
To: CERENCE OPERATING COMPANY
Reel/Frame 055927/0620 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jan 26, 2017
From: AT&T INTELLECTUAL PROPERTY II, L.P.
To: NUANCE COMMUNICATIONS, INC.
Reel/Frame 041512/0608 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Aug 5, 2015
From: AT&T PROPERTIES, LLC
To: AT&T INTELLECTUAL PROPERTY II, L.P.
Reel/Frame 036255/0098 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Aug 5, 2015
From: COX, RICHARD VANDERVOORT; KIM, HONG KOOK
To: AT&T CORP.
Reel/Frame 036280/0441 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Aug 5, 2015
From: AT&T CORP.
To: AT&T PROPERTIES, LLC
Reel/Frame 036255/0014 →