Apparatus and method for speech coding

• US 7,289,953 B2
• Filed: 04/01/2005
• Issued: 10/30/2007
• Est. Priority Date: 08/23/1999
• Status: Expired due to Term

• Current Assignee: III Holdings 12, LLC (Intellectual Ventures LLC)
• Original Assignee: Matsushita Electric Industrial Company Limited (Panasonic Holdings Corporation)
• Inventors: Morii, Toshiyuki, Yasunaga, Kazutoshi
• Primary Examiner(s): ABEBE, DANIEL DEMELASH
• Application Number:
  US11/095,530
• Publication Number:
  US 20050171771A1
• Time in Patent Office: 942 Days
• Field of Search: 704/219, 704/220
• 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 19/09 Long term prediction, i.e. removing periodical redundancies, e.g. by using adaptive codebook or pitch predictor
• CPC Class Codes: G10L 19/16 Vocoder architecture

Abstract

A speech encoder includes an LPC synthesizer that obtains synthesized speech by filtering an adaptive excitation vector and a stochastic excitation vector stored in an adaptive codebook and in a stochastic codebook using LPC coefficients obtained from input speech. A gain calculator calculates gains of the adaptive excitation vector and the stochastic excitation vector and searches code of the adaptive excitation vector and code of the stochastic excitation vector by comparing distortions between the input speech and the synthesized speech obtained using the adaptive excitation vector and the stochastic excitation vector. A parameter coder performs predictive coding of gains using the adaptive excitation vector and the stochastic excitation vector corresponding to the codes obtained. The parameter coder comprises a prediction coefficient adjuster that adjusts at least one prediction coefficient used for the predictive coding according to at least one state of at least one previous subframe.

Claims

1. A speech encoder comprising:

an LPC synthesizer that obtains synthesized speech by filtering an adaptive excitation vector and a stochastic excitation vector stored in an adaptive codebook and in a stochastic codebook using LPC coefficients obtained from input speech;

a gain calculator that calculates gains of said adaptive excitation vector and said stochastic excitation vector and searches code of the adaptive excitation vector and code of the stochastic excitation vector by comparing distortions between said input speech and said synthesized speech obtained using said adaptive excitation vector and said stochastic excitation vector; and

a parameter coder that performs predictive coding of gains using said adaptive excitation vector and said stochastic excitation vector corresponding to the codes obtained, wherein said parameter coder comprises a prediction coefficient adjuster that adjusts at least one prediction coefficient used for said predictive coding according to at least one state of at least one previous subframe.

2. The speech encoder according to claim 1, wherein when at least one state of a previous subframe is one of an extremely large value and an extremely small value, said prediction coefficient adjuster adjusts said predictive coefficients so as to reduce the influence thereof.

3. The speech encoder according to claim 1, wherein said parameter coder comprises a codebook including gain vectors of the adaptive excitation vectors, logarithmic gain vectors of the stochastic excitation vectors and coefficients for adjusting the prediction coefficient.

4. The speech encoder according to claim 3, wherein, in predictive coding, when a product sum between states and prediction coefficients is calculated, prediction coefficient adjustment coefficients corresponding to the states are multiplied.

5. The speech encoder according to claim 1, further comprising a storage that stores said adaptive excitation vector, said stochastic excitation vector and prediction coefficient adjustment coefficients in accordance with each state.

6. The speech encoder according to claim 5, wherein when said adaptive excitation vector and said stochastic excitation vector stored in said storage are updated, said prediction coefficient adjustment coefficients are also updated.