Chutima Pisarn

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Spelling recognition is an approach to enhance a speech recognizer to cope with incorrectly recognized words and out-of-vocabulary words. This paper presents a general framework for Thai speech recognition, enhanced with spelling recognition. To implement Thai spelling recognition, Thai alphabets and their spelling methods are analyzed. Based on hidden(More)
Spelling recognition is an approach to enhance a speech recognizer’s ability to cope with incorrectly recognized words and out-of-vocabulary words. This paper presents a general framework for Thai speech recognition enhanced with spelling recognition. In order to implement Thai spelling recognition, Thai alphabets and their spelling methods are analyzed.(More)
Spelling speech recognition can be applied for several purposes including enhancement of speech recognition systems and implementation of name retrieval systems. This paper presents a Thai spelling analysis to develop a Thai spelling speech recognizer. The Thai phonetic characteristics, alphabet system and spelling methods have been analyzed. As a training(More)
Spelling speech recognition can be applied for several purposes including enhancement of speech recognition systems and implementation of name retrieval systems. This paper presents an approach to construct three recognizers for the three commonlyused Thai spelling methods based on hidden Markov models (HMMs). The Thai phonetic characteristics, alphabet(More)
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