Hungarian speech synthesis using a phase exact HNM approach

Kornél Kovács, András Kocsor, László Tóth

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Unnaturally sounding speech prevents the listeners from recognizing the message of the signal. In this paper we demonstrate how a precise initial phase approximation can improve the naturalness of artificially generated speech. Using the Harmonic plus Noise Model provided by Stylianou as a framework for a Hungarian speech synthesis, the exact initial phase extension of the system can be easily performed. The proposed method turns out to be more effective in preserving the sound characteristics and quality than the original one.

Original languageEnglish
Title of host publicationSOFSEM 2002
Subtitle of host publicationTheory and Practice of Informatics - 29th Conference on Current Trends in Theory and Practice of Informatics, Proceedings
PublisherSpringer Verlag
Pages181-185
Number of pages5
ISBN (Print)354000145X, 9783540001454
DOIs
Publication statusPublished - Jan 1 2002
Event29th Conference on Current Trends in Theory and Practice of Informatics, SOFSEM 2002 - Milovy, Czech Republic
Duration: Nov 22 2002Nov 29 2002

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2540 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other29th Conference on Current Trends in Theory and Practice of Informatics, SOFSEM 2002
CountryCzech Republic
CityMilovy
Period11/22/0211/29/02

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ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Kovács, K., Kocsor, A., & Tóth, L. (2002). Hungarian speech synthesis using a phase exact HNM approach. In SOFSEM 2002: Theory and Practice of Informatics - 29th Conference on Current Trends in Theory and Practice of Informatics, Proceedings (pp. 181-185). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2540 LNCS). Springer Verlag. https://doi.org/10.1007/3-540-36137-5_12