Speech encoding method and apparatus including a codebook storing a plurality of code vectors for encoding a speech signal

• US 5,926,785 A
• Filed: 08/15/1997
• Issued: 07/20/1999
• Est. Priority Date: 08/16/1996
• Status: Expired due to Term

• Current Assignee: Kabushiki Kaisha Toshiba (Toshiba Corporation)
• Original Assignee: Kabushiki Kaisha Toshiba (Toshiba Corporation)
• Inventors: Akamine, Masami, Amada, Tadashi
• Primary Examiner(s): Dorvil, Richemond
• Application Number:
  US08/911,719
• Time in Patent Office: 704 Days
• Field of Search: 704/201, 704/222, 704/200, 704/219, 704/220, 704/223, 704/230, 704/221, 704/229, 704/207, 704/228, 704/216, 704/225, 704/262
• US Class Current: 704/219
• CPC Class Codes: G10L 19/083 the excitation function being an excitation gain G10L25/90 takes precedence
• CPC Class Codes: G10L 19/26 Pre-filtering or post-filtering
• CPC Class Codes: G10L 2019/0005 Multi-stage vector quantisation

Abstract

A speech encoding method including generating a reconstruction speech vector by using a code vector extracted from a codebook storing a plurality of code vectors for encoding a speech signal. In addition an input speech signal to be encoded is used as a target vector to generate an error vector representing the error of the reconstruction speech vector with respect to the target vector, and the error vector is passed through a perceptual weighting filter having a transfer function including the inverse characteristics of the transfer function of a filter for emphasizing the spectrum of a reconstructed speech signal. Thus a weighted error vector is generated, the codebook for a code vector that minimizes the weighted error vector is searched, and an index corresponding to the code vector found as an encoding parameter is output.

Claims

1. A speech encoding method comprising the steps of:

preparing a codebook storing a plurality of code vectors for encoding a speech signal;

producing a reconstruction speech vector by using the code vectors extracted from said codebook, and an error vector representing an error of the reconstruction speech vector with respect to a target vector corresponding to an input speech signal to be encoded;

passing the error vector through a perceptual weighting filter having a transfer function including an inverse characteristic of a transfer function of a filter for emphasizing a spectrum of the reconstruction speech signal, to generate a weighted error vector; and

searching said codebook for a code vector that minimizes the weighted error vector, and outputting an index corresponding to the code vector found as an encoding parameter.

2. A method according to claim 1, wherein the producing step comprises weighting the error vector with a different weighting coefficient for each frequency of the speech signal.

3. A method according to claim 1, wherein the searching step comprises searching a plurality of codebooks for code vectors.

4. A method according to claim 3, wherein the searching step comprises converting indexes of the code vectors found in said plurality of codebooks into code sequences, multiplexing the code sequences, and outputting a multiplexed code sequence as an encoding parameter.

5. A method according to claim 3, wherein said plurality of codebooks include first and second codebooks which store code vectors for respectively removing long-term and short-term correlations of speech, and a third codebook which stores a code vector having, as elements, gains to be given to the code vectors of said first and second codebooks.

6. A method according to claim 5, wherein the searching step comprises sequentially searching said first to third codebooks for code vectors that minimize distortion, converting indexes of the code vectors found into code sequences, and multiplexing the code sequences.

7. A method according to claim 5, wherein the searching step comprises searching said first codebook for a code vector that minimizes distortion obtained by passing the code vector of said first codebook and the target vector through said perceptual weighting filter, obtaining a new target vector obtained by subtracting the code vector of said first codebook from the target vector, searching said second codebook for a code vector that minimizes weighted distortion of the code vector of said second codebook with respect to the new target vector, multiplying the code vectors extracted from said first and second codebooks by a gain of the code vector found in said third codebook, and then searching said third codebook for the code vector that minimizes weighted distortion with respect to the target vector of a reconstructed speech signal vector obtained by addition.

8. A method according to claim 5, further comprising the step of multiplying code vectors found in said first and second codebooks by a gain found in said third codebook, adding products to obtain a reconstructed speech signal vector, and updating contents of said first codebook on the basis of the reconstructed speech signal vector.

9. A method according to claim 1, further comprising the step of performing an LPC analysis for a speech signal in order to shape a noise spectrum at said perceptual weighting filter, and give an inverse characteristic of spectrum emphasis to said perceptual weighting filter.

10. A speech encoding apparatus comprising:

a codebook storing a plurality of code vectors for encoding a speech signal;

a reconstruction speech vector generator for generating a reconstruction speech vector by using a code vector extracted from said codebook;

an error vector generator for generating, using an input speech signal to be encoded as a target vector, an error vector representing an error of the reconstruction speech vector with respect to the target vector;

a perceptual weighting filter which has a transfer function including an inverse characteristic of a transfer function of a filter for emphasizing a spectrum of a reconstruction speech signal, and receives the error vector and outputs a weighted error vector;

a search searcher for searching said codebook for a code vector that minimizes the weighted error vector; and

an output circuit for outputting an index corresponding to the code vector found by said searcher as an encoding parameter.

11. An apparatus according to claim 10, wherein said error vector generator comprises means for weighting the error vector with a different weighting coefficient for each frequency of the speech signal.

12. An apparatus according to claim 11, wherein said codebook comprises first and second codebooks which store code vectors for respectively removing long-term and short-term correlations of speech, and a third codebook which stores a code vector having, as elements, gains to be given to the code vectors of said first and second codebooks.

13. An apparatus according to claim 12, wherein the searcher comprises means for searching said first to third codebooks for code vectors that minimize distortion, converting indexes of the code vectors found into code sequences, and multiplexing the code sequences.

14. An apparatus according to claim 12, wherein the searcher comprises means for searching said first codebook for a code vector that minimizes distortion obtained by passing the code vector of said first codebook and the target vector through said perceptual weighting filter, obtaining a new target vector obtained by subtracting the code vector of said first codebook from the target vector, and searching said second codebook for a code vector that minimizes weighted distortion of the code vector of said second codebook with respect to the new target vector, calculation means for multiplying the code vectors extracted from said first and second codebooks by a gain of the code vector found in said third codebook, and adding the results to obtain a reconstruction speech signal vector, and means for searching said third codebook for the code vector that minimizes weighted distortion with respect to the target vector of the reconstruction speech signal vector.

15. An apparatus according to claim 14, further comprising means for updating contents of said first codebook on the basis of the reconstruction speech signal vector.

16. An apparatus according to claim 12, further comprising a predictor arranged to remove a correlation between code vectors stored in said second codebook, and a fourth codebook for controlling said predictor.

17. An apparatus according to claim 16, wherein said predictor calculates a prediction vector from a code vector extracted from said second codebook by using a coefficient matrix given as a code vector from said fourth codebook, and said searcher searches said second codebook for a code vector that minimizes weighted distortion between the prediction vector and the target vector.

18. An apparatus according to claim 10, further comprising means for performing an LPC analysis for a speech signal in order to shape a noise spectrum at said perceptual weighting filter, and give an inverse characteristic of spectrum emphasis to said perceptual weighting filter.

19. A speech encoding method comprising the steps of:

preparing a codebook storing a plurality of code vectors for encoding a speech signal;

generating a reconstruction speech vector by using the code vector extracted from said codebook, and an error vector representing an error of the reconstruction speech vector with respect to a target vector corresponding to a speech signal obtained by performing spectrum emphasis for an input speech signal to be encoded; and

searching said codebook for a code vector that minimizes a weighted error vector obtained by passing the error vector through a perceptual weighting filter, and outputting an index corresponding to the code vector found as an encoding parameter.

20. A speech encoding apparatus comprising:

a codebook storing a plurality of code vectors for encoding a speech signal;

a reconstruction speech vector generator for generating a reconstruction speech vector by using a code vector extracted from said codebook;

a pre-filter for performing spectrum emphasis for an input speech signal to be encoded;

an error vector generator for generating, using a speech signal having undergone spectrum emphasis by said pre-filter as a target vector, an error vector representing an error of the reconstruction speech vector with respect to the target vector;

a perceptual weighting filter for receiving the error vector and outputting a weighted error vector;

a searcher for searching said codebook for a code vector that minimizes the weighted error vector; and

an output circuit for outputting an index corresponding to the code vector found by said searcher as an encoding parameter.