Automatic phoneme-level segmentation and transcription of the Filipino speech corpus using split temporal context and hybrid-HMM network architecture
Automatic Speech Recognition (ASR) systems are very valuable in developing large vocabulary speech corpora which are primarily used in the human-machine communication technology. In this project, the objective is to develop a method for automatic phoneme-level segmentation and transcription of the F...
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| 格式: | Thesis |
| 語言: | 英语 |
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2008.
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