Filipino phoneme recognition trained on the Filipino speech corpus & TIMIT.
This paper describes the experiments and results in the phoneme recognition trained on the Filipino Speech Corpus (FSC) using three sets of training data: TIMIT, FSC and TIMIT plus FSC. Multi-Layer Perceptrons (MLPs) were tarined on these three sets of data. The resulting MLP weights were used to co...
| Опубликовано в:: | UPCOE NEC Technical Bulletin 1, 1 (March 2004). |
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| Главный автор: | |
| Формат: | Статья |
| Язык: | английский |
| Предметы: |