Orders > Conference proceedings > 12th international workshop on systems, signals and image processing
(from Chapter 1: Invited Addresses and Tutorials on Signals, Coding,
 Systems and Intelligent Techniques)
| Full Citation and Abstract
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Title: |
Speech Period Detection Using Neural Network Classification |
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Author(s): |
Andrej Vrábel, Gregor Rozinaj |
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Address: |
Slovak University of Technology, FEEIT, Dept. of Telecommunications
Ilkovicova 3, 812 19 Bratislava
av2 @ post.sk, Gregor.rozinaj @ stuba.sk |
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Reference: |
SSIP-SP1, 2005 pp. 147 - 150 |
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Abstract/
Summary |
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. |
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