Class-based word clustering for speech recognition using a three-level balanced hierarchical similarity
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United States of America Patent
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Nov 10, 1998
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N/A
app pub date -
Apr 18, 1996
filing date -
Feb 15, 1996
priority date (Note) -
Expired
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Abstract
In a word clustering apparatus for clustering words, a plurality of words is clustered to obtain a total tree diagram of a word dictionary representing a word clustering result, where the total tree diagram includes tree diagrams of an upper layer, a middle layer and a lower layer. In a speech recognition apparatus, a microphone converts an input utterance speech composed of a plurality of words into a speech signal, and a feature extractor extracts predetermined acoustic feature parameters from the converted speech signal. Then, a speech recognition controller executes a speech recognition process on the extracted acoustic feature parameters with reference to a predetermined Hidden Markov Model and the obtained total tree diagram of the word dictionary, and outputs a result of the speech recognition.
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