Title: Reducing footprint of unit selection TTS system by excluding utterances from source speech corpus
Other Titles: SniĹľovánĂ­ paměťovĂ˝ch nárokĹŻ systĂ©mu TTS pracujĂ­cĂ­ho na principu vĂ˝bÄ›ru jednotek vyhozenĂ­m promluv ze zdrojovĂ©ho Ĺ™eÄŤovĂ©ho korpusu
Authors: Matoušek, Jindřich
Tihelka, Daniel
Hanzlíček, Zdeněk
Citation: MATOUĹ EK, JindĹ™ich; TIHELKA, Daniel; HANZLĂŤÄŚEK, ZdenÄ›k. Reducing footprint of unit selection TTS system by excluding utterances from source speech corpus. In: Speech processing 19th czech – german workshop 29th September – 1st October 2009. Prague: Institute of Photonics and Electronics Academy of Sciences of the Czech Republic, 2009, p. 92-98. ISBN 978-80-86269-18-4.
Issue Date: 2009
Publisher: Institute of Photonics and Electronics Academy of Sciences of the Czech Republic
Document type: článek
article
URI: http://www.kky.zcu.cz/cs/publications/MatousekJ_2009_ReducingFootprintof
http://hdl.handle.net/11025/17017
ISBN: 978-80-86269-18-4
Keywords: syntĂ©za Ĺ™eÄŤi;vĂ˝bÄ›r jednotky;korpus Ĺ™eÄŤi
Keywords in different language: speech synthesis;unit selection;speech corpus
Abstract in different language: Current unit selection speech synthesis systems are capable of producing speech of a high quality at the expense of enormous computational and storage requirements. In this paper, the analysis of an existing large speech corpus employed for unit-selection-based synthesis of Czech speech is performed. Subsequently, a procedure for the exclusion of some amount of utterances from the source speech corpus is proposed. The procedure is based on the statistics of the utilisation of all utterances during text-to-speech synthesis of a large portion of texts. The exclusion of whole utterances was preferred over the exclusion of the particular instances of speech units in order to preserve the main feature of unit selection framework - to select as longest sequence of contiguous speech units as possible. After the exclusion, the footprint of the system was reduced approximately by 42 %. The resulting synthetic speech was then judged by means of 5-scale CCR listening tests and evaluated in average as only "slightly worse" than speech generated by the baseline (i.e. not reduced) system.
Rights: Â© JindĹ™ich Matoušek - Daniel Tihelka - ZdenÄ›k HanzlĂ­ÄŤek
Appears in Collections:Články / Articles (NTIS)
Články / Articles (KIV)

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