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Nishiguchi, 2006 - Google Patents

Weighted vector quantization of harmonic spectral magnitudes for very low-bit-rate speech coding

Nishiguchi, 2006

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Document ID
8988719527716030843
Author
Nishiguchi M
Publication year
Publication venue
Acoustical science and technology

External Links

Snippet

Harmonic coding is a very powerful technique for the coding of speech at very low bit rates; and the efficient coding of spectral magnitudes sampled at harmonic frequencies is the key to obtaining good coded-speech quality. This paper presents a weighted vector quantization …
Continue reading at www.jstage.jst.go.jp (PDF) (other versions)

Classifications

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    • G10L19/00—Speech or audio signal analysis-synthesis techniques for redundancy reduction, e.g. in vocoders; Coding or decoding of speech or audio signal, using source filter models or psychoacoustic analysis
    • G10L19/04—Speech or audio signal analysis-synthesis techniques for redundancy reduction, e.g. in vocoders; Coding or decoding of speech or audio signal, using source filter models or psychoacoustic analysis using predictive techniques
    • G10L19/16—Vocoder architecture
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    • G10L19/0204—Speech or audio signal analysis-synthesis techniques for redundancy reduction, e.g. in vocoders; Coding or decoding of speech or audio signal, using source filter models or psychoacoustic analysis using spectral analysis, e.g. transform vocoders or subband vocoders using subband decomposition
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    • G10L19/0212—Speech or audio signal analysis-synthesis techniques for redundancy reduction, e.g. in vocoders; Coding or decoding of speech or audio signal, using source filter models or psychoacoustic analysis using spectral analysis, e.g. transform vocoders or subband vocoders using orthogonal transformation
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    • G—PHYSICS
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    • G10L25/00—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00-G10L21/00
    • G10L25/93—Discriminating between voiced and unvoiced parts of speech signals

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