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Automatic phonetic segmentation of Malay speech database
2007
2007 6th International Conference on Information, Communications & Signal Processing
This paper deals with automatic phonetic segmentation for Malay continuous speech. This study investigates fast and automatic phone segmentation in preparing database for Malay concatenative Text-to-Speech (TTS) systems. A 35 Malay phone set has been chosen, which is suitable for building Malay TTS. The segmentation experiment is based on this phone set. HMM based segmentation approach which uses Viterbi force alignment technique is adapted. We use continuous density HMM (CDHMM) with Gaussian
doi:10.1109/icics.2007.4449574
fatcat:ezws6f4y6nbfdcro7fi3escx7e