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- W2071990151 abstract "In this paper, we propose a Thai phoneme recognition system with a soft phoneme segmentation. The soft phoneme segmentation technique is based on the characteristics of Thai language in that the vowel is the core of a syllable. The recognition system utilizes the discrete hidden Markov model to recognize the Thai phonemes, i.e., 21-class initial consonants, 18-class vowels, and 9-class final consonants. We use the Mel frequency with perceptual linear prediction as the features of a phoneme. We experiment the recognition system on both speaker-dependent and speaker-independent data sets recorded from 30 speakers. The experimental results show promising recognition performances in both cases." @default.
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- W2071990151 date "2007-01-01" @default.
- W2071990151 modified "2023-09-27" @default.
- W2071990151 title "Thai Phoneme Soft Segmentation and Recognition Using Hidden Markov Models" @default.
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- W2071990151 doi "https://doi.org/10.1109/iecon.2007.4460136" @default.
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