Title: Identification and automatic detection of parasitic speech sounds
Other Titles: Identifikace a automatická detekce parazitnĂ­ch Ĺ™eÄŤovĂ˝ch zvukĹŻ
Authors: Matoušek, Jindřich
Skarnitzl, Radek
Machač, Pavel
Trmal, Jan
Citation: MATOUĹ EK, JindĹ™ich; SKARNITZL, Radek; MACHAÄŚ, Pavel; TRMAL, Jan. Identification and automatic detection of parasitic speech sounds. In: Proceedings of ICSPL 2009: 10th Annual Conference of the International Speech Communication Association 2009, 6-10 September 2009, Brighton, UK. [Baixas]: ISCA, 2009, p. 876-879. ISSN 1990-9772.
Issue Date: 2009
Publisher: ISCA
Document type: článek
URI: http://www.kky.zcu.cz/cs/publications/MatousekJ_2009_Identificationand
ISSN: 1990-9772
Keywords: parazitnĂ­ zvuk Ĺ™eÄŤi;lingvistická pĹ™irozenost;syntĂ©za Ĺ™eÄŤi;vĂ˝bÄ›r jednotky;HMM;BVM
Keywords in different language: parasitic speech sound;linguistic naturalness;speech synthesis;unit selection;HMM;BVM
Abstract in different language: This paper presents initial experiments with the identification and automatic detection of parasitic sounds in speech signals. The main goal of this study is to identify such sounds in the source recordings for unit-selection-based speech synthesis systems and thus to avoid their unintended usage in synthesised speech. The first part of the paper describes the phonetic analysis and identification of parasitic phenomena in recordings of two Czech speakers. In the second part, experiments with the automatic detection of parasitic sounds using HMM-based and BVM classifiers are presented. The results are encouraging, especially those for glottalization phenomena.
Rights: Â© JindĹ™ich Matoušek - Radek Skarnitzl - Pavel MachaÄŤ - Jan Trmal
Appears in Collections:Články / Articles (KKY)
Články / Articles (KIV)

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