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An Improvement of Prosodic Characteristics in Vietnamese Text to Speech System

  • Thanh Son PhanEmail author
  • Anh Tuan Dinh
  • Tat Thang Vu
  • Chi Mai Luong
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 244)

Abstract

One important goal of TTS system is to generate natural-sounding synthesized voice. To meet the goal, a variety of tasks are performed to model the prosodic aspects of TTS voice. The task being discussed here is POS and Intonation tagging. The paper examines the effects of POS and Intonation information on the naturalness of a hidden Markov model (HMM) based speech when other resources are not available. It is discovered that, when a limited feature set is used for HMM context labels, the POS and Intonation tags improve the naturalness of the synthesized voice.

Keywords

Hide Markov Model Natural Speech Prosodic Characteristic Male Voice Pitch Accent 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Thanh Son Phan
    • 1
    Email author
  • Anh Tuan Dinh
    • 2
  • Tat Thang Vu
    • 2
  • Chi Mai Luong
    • 2
  1. 1.Faculty of Information TechnologyLe Qui Don Technical UniversityHanoi CityVietnam
  2. 2.Institute of Information TechnologyVietnam Academy of Science and TechnologyHanoi CityVietnam

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