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Erschienen in:
2006 | OriginalPaper | Buchkapitel
A Hakka Text-To-Speech System
verfasst von : Hsiu-Min Yu, Hsin-Te Hwang, Dong-Yi Lin, Sin-Horng Chen
Erschienen in: Chinese Spoken Language Processing
Verlag: Springer Berlin Heidelberg
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In this paper, the implementation of a Hakka text-to-speech (TTS) system is presented. The system is designed based on the same principle of developing a Mandarin and a Min-Nan TTS systems proposed previously. It takes 671 base-syllables as basic synthesis units and uses a recurrent neural network (RNN)-based prosody generator to generate proper prosodic parameters for synthesizing natural output speech. The whole system is implemented by software and runs in real-time on PC. Informal subjective listening test confirmed that the system performed well. All synthetic speeches sounded well for well-tokenized texts and fair for texts with automatic tokenization.