Neural Network Program Package for Prosody Modeling
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Date
2004-04
Authors
ORCID
Advisor
Referee
Mark
Journal Title
Journal ISSN
Volume Title
Publisher
Společnost pro radioelektronické inženýrství
Abstract
This contribution describes the programme for one part of the automatic Text-to-Speech (TTS) synthesis. Some experiments (for example [14]) documented the considerable improvement of the naturalness of synthetic speech, but this approach requires completing the input feature values by hand. This completing takes a lot of time for big files. We need to improve the prosody by other approaches which use only automatically classified features (input parameters). The artificial neural network (ANN) approach is used for the modeling of prosody parameters. The program package contains all modules necessary for the text and speech signal pre-processing, neural network training, sensitivity analysis, result processing and a module for the creation of the input data protocol for Czech speech synthesizer ARTIC [1].
Description
Citation
Radioengineering. 2004, vol. 13, č. 1, s. 17-21. ISSN 1210-2512
http://www.radioeng.cz/fulltexts/2004/04_01_17_21.pdf
http://www.radioeng.cz/fulltexts/2004/04_01_17_21.pdf
Document type
Peer-reviewed
Document version
Published version
Date of access to the full text
Language of document
en