Acoustic model creation method as well as acoustic model creation apparatus and speech recognition apparatus
First Claim
1. An acoustic model creation method to create a syllabic HMM (Hidden Markov Model) which is an acoustic model, comprising:
- generating a phoneme HMM set which includes phoneme HMMs corresponding to individual phonemes;
combining the phoneme HMMs of the phoneme HMM set so as to generate an initial phoneme-connected syllable HMM set which includes initial phoneme-connected syllable HMMs corresponding to individual syllables; and
training the initial phoneme-connected syllable HMM set, thereby generating a phoneme-connected syllable HMM set being the acoustic model.
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Abstract
To provide an acoustic model which can absorb the fluctuation of a phonemic environment in an interval longer than a syllable, with the number of parameters of the acoustic model suppressed to be small, a phoneme-connected syllable HMM/syllable-connected HMM set is generated in such a way that a phoneme-connected syllable HMM set corresponding to individual syllables is generated by combining phoneme HMMs. A preliminary experiment is conducted using the phoneme-connected syllable HMM set and training speech data. Any misrecognized syllable and the preceding syllable of the misrecognized syllable are checked using results of a preliminary experiment syllable label data. The combination between a correct answer syllable for the misrecognized syllable and the preceding syllable of the misrecognized syllable is extracted as a syllable connection. A syllable-connected HMM corresponding to this syllable connection is added into the phoneme-connected syllable HMM set. The resulting phoneme-connected syllable HMM set is trained using the training speech data and the syllable label data.
19 Citations
18 Claims
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1. An acoustic model creation method to create a syllabic HMM (Hidden Markov Model) which is an acoustic model, comprising:
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generating a phoneme HMM set which includes phoneme HMMs corresponding to individual phonemes;
combining the phoneme HMMs of the phoneme HMM set so as to generate an initial phoneme-connected syllable HMM set which includes initial phoneme-connected syllable HMMs corresponding to individual syllables; and
training the initial phoneme-connected syllable HMM set, thereby generating a phoneme-connected syllable HMM set being the acoustic model. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 17)
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9. An acoustic model creation apparatus to create a syllable HMM (Hidden Markov Model) which is an acoustic model, comprising:
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an initial phoneme-connected syllable HMM set generation device to combine phoneme HMMs trained in correspondence with individual phonemes, so as to generate an initial phoneme-connected syllable HMM set which includes initial phoneme-connected syllable HMMs corresponding to individual syllables; and
a HMM retraining device to retrain the initial phoneme-connected syllable HMM set so as to generate a phoneme-connected syllable HMM set being the acoustic model. - View Dependent Claims (10, 11, 12, 13, 14, 15, 16, 18)
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Specification