We have already proposed the application of tree-structured speaker clustering to supervised speaker adaptation. This paper proposes its application to unsupervised speaker adaptation and speakerindependent (SI) speech recognition. This clustering involves the selection of a speaker cluster from amo
β¦ LIBER β¦
A speaker-independent speech-recognition system based on linear prediction
β Scribed by Gupta, V.; Bryan, J.; Gowdy, J.
- Book ID
- 117905196
- Publisher
- IEEE
- Year
- 1978
- Weight
- 797 KB
- Volume
- 26
- Category
- Article
- ISSN
- 0096-3518
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## Abstract Matrix quantization (MQ) is a method which directly quantizes the spectrumβtime pattern. However, it has a problem in that the quantization error is relatively large compared to the vector quantization (VQ), since the dimension is large and the pattern variation is less. From such a vi