Template-driven generation of prosodic information for Chinese concatenative synthesis

Chung-Hsien Wu, Jau Hung Chen

Research output: Contribution to journalArticlepeer-review

8 Citations (Scopus)

Abstract

In this paper, a template-driven generation of prosodic information is proposed for Chinese text-to-speech conversion. A set of monosyllable-based synthesis units is selected from a large continuous speech database. The speech database is employed to establish a word-prosody-based template tree according to the linguistic features: tone combination, word length, part-of-speech (POS) of the word, and word position in a sentence. This template tree stores the prosodic features including pitch contour, average energy, and syllable duration of a word for possible combinations of linguistic features. Two modules for sentence intonation and template selection are proposed to generate the target prosodic templates. The experimental results for the TTS conversion system showed that synthesized prosodic features quite resembled their original counterparts for most syllables in the inside test. Evaluation by subjective experiments also confirmed the satisfactory performance of these approaches.

Original languageEnglish
Pages (from-to)65-68
Number of pages4
JournalICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume1
Publication statusPublished - 1999

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Electrical and Electronic Engineering
  • Acoustics and Ultrasonics

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