Proceedings of the International Conference
I W S S I P   2005
12th INTERNATIONAL WORKSHOP ON SYSTEMS, SIGNALS & IMAGE PROCESSING

22 - 24 September 2005, Chalkida Greece
 
(from Chapter 1: Invited Addresses and Tutorials on Signals, Coding, Systems and Intelligent Techniques)

 Full Citation and Abstract

0 Title: Speech Period Detection Using Neural Network Classification
  Author(s): Andrej Vrábel, Gregor Rozinaj
  Address: Slovak University of Technology, FEEIT, Dept. of Telecommunications Ilkovicova 3, 812 19 Bratislava
av2 @ post.sk, Gregor.rozinaj @ stuba.sk
  Reference: SSIP-SP1, 2005  pp. 147 - 150
  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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