A hakka text-to-speech system

  • Authors:

  • Hsiu-Min Yu;Hsin-Te Hwang;Dong-Yi Lin;Sin-Horng Chen

  • Affiliations:

  • Department of Foreign Languages, Chung Hua University, Hsinchu;Department of Communication Engineering, National Chiao Tung University, Hsinchu;Department of Communication Engineering, National Chiao Tung University, Hsinchu;Department of Communication Engineering, National Chiao Tung University, Hsinchu

  • Venue:
  • ISCSLP'06 Proceedings of the 5th international conference on Chinese Spoken Language Processing
  • Year:
  • 2006

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Abstract

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.