Patent
Technique for modifying reference vector quantized speech feature signals
Abstract:
A signal processing arrangement uses a codebook of first vector quantized speech feature signals formed responsive to a large collection of speech feature signals. The codebook is altered by combining the first speech feature signals of the codebook with second speech feature signals generated responsive to later input speech patterns during normal speech processing. A speaker recognition template can be updated in this fashion to take account of change which may occur in the voice and speaking characteristics of a known speaker.read more
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Patent
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References
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Journal Article
Vector quantization
TL;DR: During the past few years several design algorithms have been developed for a variety of vector quantizers and the performance of these codes has been studied for speech waveforms, speech linear predictive parameter vectors, images, and several simulated random processes.
Journal ArticleDOI
Vector quantization in speech coding
John Makhoul,S. Roucos,H. Gish +2 more
TL;DR: This tutorial review presents the basic concepts employed in vector quantization and gives a realistic assessment of its benefits and costs when compared to scalar quantization, and focuses primarily on the coding of speech signals and parameters.
PatentDOI
Hidden Markov model speech recognition arrangement
TL;DR: In this paper, a speech recognizer includes a plurality of stored constrained hidden Markov model reference templates and a set of stored signals representative of prescribed acoustic features of the said plurality of reference patterns.
Journal ArticleDOI
Vector quantization: A pattern-matching technique for speech coding
Allen Gersho,Vladimir Cuperman +1 more
TL;DR: Recent results obtained in waveform coding of speech with vector quantization are reviewed, with Vector quantization appearing to be a suitable coding technique which caters to this dual requirement of effective speech coding.