Speech period detection using neural network classification

被引：0
|
作者：
Vrábel, A [1 ]
Rozinaj, G [1 ]
机构：
[1] Slovak Univ Technol Bratislava, FEEIT, Dept Telecommun, Bratislava 81219, Slovakia
来源：
IWSSIP 2005: PROCEEDINGS OF THE 12TH INTERNATIONAL WORSHOP ON SYSTEMS, SIGNALS & IMAGE PROCESSING | 2005年
关键词：
pitch detection; speech synthesis; neural network; EMU database system;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The implementation of the Slovak speech synthesizer, based on the TD PSOLA algorithm in the EMU database system [1], has proven the strong relation between accurate pitch period estimation and the quality of synthesized speech. Although the problem of pitch detection is well known for a long time, there has not been developed a method yet, which works well in general. In this work the neural network is used as a statistical classifier, generalizing outputs of various pitch detection algorithms. Further it describes its usage in the text-to-speech syn-thesizer and discusses achieved results.
引用
收藏
页码：145 / 148
页数：4
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