Identification and Automatic Detection of Parasitic Speech Sounds

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F09%3A00501705" target="_blank" >RIV/49777513:23520/09:00501705 - isvavai.cz</a>
Alternative codes found
RIV/00216208:11210/09:00200692
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Identification and Automatic Detection of Parasitic Speech Sounds
Original language description
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.
Czech name
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Czech description
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Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2009
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
10th Annual Conference of International Speech Communication Association (Interspeech 2009)
ISBN
978-1-61567-692-7
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
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Publisher name
Curran Associates
Place of publication
Red Hook
Event location
Brighton, United Kingdom
Event date
Sep 10, 2009
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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