An efficient text analyzer with prosody generator-driven approach for Mandarin text-to-speech

Shaw-Hwa Hwang*, Cheng Yu Yeh

*Corresponding author for this work

Research output: Contribution to journalConference article

1 Scopus citations

Abstract

A new approach for efficient text analyzer is proposed. The prosody generator driven method is employed to design an efficient text analyzer for Mandarin text-to-speech. Three heuristic and theoretical methods are used to examine the capability of each linguistic feature. Firstly, the contribution of each linguistic feature on prosody generator is examined experimentally. Secondly, the cross-influence of each linguistic feature on the prosody generator is analyzed. Thirdly, the problem of over- and under- classification on the linguistic feature will be inspected. Finally, these three analytic results are referenced to design an efficient text analyzer. More than 39,103 Chinese characters are employed to examine the performance of our text analyzer. Less than 78ms is need for word tagging under P4-1.4G PC. The correction rate with 97% is achieved. It confirms that the performance of our text analyzer is very good. Moreover, more natural and fluent speech is obtained under the lower computation.

Original languageEnglish
Pages (from-to)488-491
Number of pages4
JournalICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume1
DOIs
StatePublished - 25 Sep 2003
Event2003 IEEE International Conference on Accoustics, Speech, and Signal Processing - Hong Kong, Hong Kong
Duration: 6 Apr 200310 Apr 2003

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