Natural speech synthesis based on hybrid approach with candidate expansion and verification

Chung Hsien Wu, Yi Chin Huang, Shih Lun Lin, Chia Ping Chen

研究成果: Conference contribution

2 引文 斯高帕斯(Scopus)

摘要

A hybrid Mandarin speech synthesis system combining concatenation-based and model-based methodology is investigated in this research. To effectively exploit a small-size corpus, the candidate sets for unit selection are expanded via clusters based on articulatory features (AF), which are estimated as the outputs of an artificial neural network. This is followed by a filtering operation incorporating residual compensation, to remove unsuitable units. Given an input text, an optimal unit sequence is decided by the minimization of a total cost, which depends on the spectral features, contextual articulatory features, formants, and pitch values. Furthermore, prosodic word verification is integrated to check the smoothness of the output speech. The units failing to pass the prosodic word verification are replaced by model-based synthesized units for better speech quality. Objective and subjective evaluations have been conducted. Comparisons among the proposed method, the HMM-based method, and the conventional hybrid method clearly show that candidate set expansion based on articulatory features lead to more units suitable for selection, and the verification process is effective in improving the naturalness of the output speech.

原文English
主出版物標題2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014
發行者Institute of Electrical and Electronics Engineers Inc.
頁面250-254
頁數5
ISBN(列印)9781479928927
DOIs
出版狀態Published - 2014
事件2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014 - Florence, Italy
持續時間: 2014 5月 42014 5月 9

出版系列

名字ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
ISSN(列印)1520-6149

Other

Other2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014
國家/地區Italy
城市Florence
期間14-05-0414-05-09

All Science Journal Classification (ASJC) codes

  • 軟體
  • 訊號處理
  • 電氣與電子工程

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