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COMPUTATIONAL LINGUISTIC MATERIAL FOR VIETNAMESE SPEECH PROCESSING: APPLYING IN VIETNAMESE TEXT-TO-SPEECH

2022; International Journal of Advanced Research in Computer Science; Volume: 13; Issue: 6 Linguagem: Inglês

10.26483/ijarcs.v13i6.6935

0976-5697

Pham Van Dong,

Handwritten Text Recognition Techniques

The motivation of this paper is to propose a set of best-quality linguistic materials for Vietnamese speech processing, which can be used for Vietnamese TTS and ASR problems. This proposed material includes: (1) a pronunciation dictionary, which adapts from X-SAMPA, (2) a rule-based grapheme to phoneme for Vietnamese. In order to test and evaluate, we have built a Vietnamese TTS system based on the Merlin engine, using the above materials, and evaluating the quality of speech and the accuracy of pronunciation. The results show that the applicability of these materials is favorable for further research and development on Vietnamese speech processing.