WIT Press


Using Data Mining To Learn The Patterns Of Pitch Variation In Chinese Speech

Price

Free (open access)

Paper DOI

10.2495/DATA980231

Volume

22

Pages

8

Published

1998

Size

817 kb

Author(s)

Tingshao Zhu & Wen Gao

Abstract

Pitch model is very important in speech synthesis, and it mainly describes the variation of pitch. In order to synthesize speech with high intelligibility and naturalness, a system should be with an appropriate pitch model. We try to find the pitch model from actual speech samples by data mining. A prototype system called SpeechDM has been implemented to extract patterns from two-word phrase of Chinese. Dataset is used for data management, and multi-thread training tasks are controlled by training manager. This paper gives the process firstly, then each step is introduced in detail. Some results and conclusions are given at last. 1 Introduction In the field of speech signal process, pitch is one of the most important parameters. Tone is decided by pitch variation, and it denotes different

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