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Yang et al., 2023 - Google Patents

Neural feature predictor and discriminative residual coding for low-bitrate speech coding

Yang et al., 2023

View PDF
Document ID
10396479127976922268
Author
Yang H
Lim W
Kim M
Publication year
Publication venue
ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

External Links

Snippet

Low and ultra-low-bitrate neural speech codecs achieved unprecedented coding gain by generating speech signals from compact features. This paper introduces additional coding efficiency in speech coding by reducing the temporal redundancy existing in the frame-level …
Continue reading at arxiv.org (PDF) (other versions)

Classifications

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    • G10L19/00Speech 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
    • G10L19/04Speech 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
    • G10L19/16Vocoder architecture
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    • G10L19/00Speech 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
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    • GPHYSICS
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    • G10L17/00Speaker identification or verification

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