Automatic isolated word recognition system and phoneme-level segmentation of the Filipino speech corpus using the hidden Markov model toolkit
Automatic speech recognition systems (ASR) are widespread in today's modern world and have proven its use in many applications. A prerequisite in the development of such systems are segmented and transcribed speech corpus which, when done manually, is a tedious work. Hence, the objective of thi...
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| Format: | Thesis |
| Language: | English |
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2006.
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