DocumentCode
2828059
Title
Speaker adaptation and voice conversion by codebook mapping
Author
Shikano, Kiyohiro ; Nakamura, Shigenari ; Abe, Makoto
Author_Institution
NTT Human Interface Lab., Tokyo
fYear
1991
fDate
11-14 Jun 1991
Firstpage
594
Abstract
The authors summarize a speaker adaptation algorithm based on codebook mapping from one speaker to a standard speaker. This algorithm has been developed to be useful in various kinds of speech recognition systems such as hidden-Markov-model-based, feature-based, and neural-network-based systems. The codebook mapping speaker adaptation algorithm has been much improved by introducing several ideas based on fuzzy vector quantization. This fuzzy codebook mapping algorithm is also applicable to voice conversion between arbitrary speakers
Keywords
computerised signal processing; encoding; neural nets; speech analysis and processing; speech recognition; codebook mapping; feature-based systems; fuzzy codebook mapping; fuzzy vector quantization; hidden-Markov-model-based systems; neural-network-based systems; speaker adaptation; speech recognition systems; standard speaker; voice conversion; Cepstrum; Code standards; Fuzzy sets; Hidden Markov models; Histograms; Humans; Laboratories; Research and development; Speech recognition; Vector quantization;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 1991., IEEE International Sympoisum on
Print_ISBN
0-7803-0050-5
Type
conf
DOI
10.1109/ISCAS.1991.176405
Filename
176405
Link To Document