The research and implementation of acoustic module based Mandarin TTS

The primary study of this paper is focused on the acoustic module (AM) design in order to improve the performance of Mandarin TTS system. The AM is composed of the prosody generator, the spectrum generator, and the speech synthesizer. The HMM, recurrent neural network (RNN), and PSOLA algorithms are employed to build the AM. Finally, the performance analyses including the speech quality, memory requirement, and computational complexity are examined in our system. Smaller than 2.4 MB memory space and average 0.08 MIPS for each syllable can be achieved on the fixed-point DSP chip. Also the synthesized speech sounds very good.