An Implementation of Mandarin TTS System using Preprocessing based on HMM segmentation

• Main Authors: Wei-Chih Kuo, 郭威志
• Other Authors: Sin-Horng Chen
• Format: Others
• Language: zh-TW
• Published: 2000
• Online Access: http://ndltd.ncl.edu.tw/handle/14190620692907064065

碩士 === 國立交通大學 === 電信工程系 === 88 === In this thesis, we implement a way be able to cut waves automatically to do preprocessing of Mandarin text-to-speech system. We choice HMM sub-syllable models which are used in speech recognition. In the beginning, we use the speech database recorded by NTU, NCTU, and NCKU. About the state observation probability, we employ mixture Gaussian models, and raise the numbers of Gaussian distribution. In additional, we employ SBR to compensate the effect of speakers and channels. Final, we get a series of HMM sub-syllable models which make the recognition rate about 70%. We employ the models to cut the speech database of a single female speaker, and extract the prosodic features from the cutting position. Then, we use the prosodic features to retrain the prosodic parameters by RNN prosodic generator. Final, we adopt the prosodic parameters to implement a female Mandarin text-to-speech system, and the syllable energy contour is taken as a prosodic information. The female Mandarin text-to-speech system consists of four main parts: text analyzer, RNN prosodic generator, waveform inventory of synthesis units, and PSOLA synthesizer.