Abstract: A training procedure for phoneme similarity reference models is described and two word recognition methods based on phoneme similarities for the English language are evaluated under clean, noisy and channel-distorted speech conditions. Optimization of recognition performance is examined in terms of multi-style training, cepstral normalizations, gender dependent models and length of time over which the phoneme similarities are computed. Phoneme similarities provide a compact speech representation which is relatively insensitive to the variations between speakers.
Publication Year: 2002
Publication Date: 2002-12-23
Language: en
Type: article
Indexed In: ['crossref']
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Cited By Count: 1
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