Error correction for speaker-independent isolated word recognition through likelihood compensation using phonetic bigram
1999Vol. 1 1 8, pp. 701–704 vol.2
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Abstract
We propose an error correction technique for speaker-independent isolated word recognition by compensating for a word's likelihood. The likelihood is compensated for by the likelihood calculated by a phonetic bigram. The phonetic bigram is a phoneme model expressing the frame correlation within an utterance. A speaker-independent isolated word recognition experiment showed that our proposed technique reduces the recognition error compared to conventional techniques. The proposed technique achieves a performance almost equal to that without speaker adaptation compared to the conventional phoneme model adapted using several words.
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