擬音韻系列を用いた単語音声認識
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概要
- 論文の詳細を見る
This paper reports on the results of the application of a vector quantization technique to an isolated word recognition system. The basic idea underlying this system is to represent a speech spectral sequence by several discrete spectral symbols. In this system, word templates are represented as sequences of discrete phoneme-like (pseudo-phoneme) templates which are automatically generated from a training set of word utterances by a clustering technique. The new word recognition system and its advantages are explained. This recognition system is especially effective for speaker-dependent large-vocabulary word recognition, as well as speaker-independent word recognition using multiple word templates.
- 社団法人日本音響学会の論文
著者
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管村 昇
Musashino Electrical Communication Laboratory
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古井 貞煕
Nippon Telegraph And Telephone Public Corporation