About: REDUCING FOOTPRINT OF UNIT SELECTION TTS SYSTEM BY REMOVING LINGUISTIC SEGMENTS WITH RARELY SELECTED UNITS

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rdfs:seeAlso	http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=7015054&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D7015054
Description	This paper is focused on reducing the size of speech corpora that are used in the unit-selection-based TTS systems. The size of a speech corpus influences the system requirements like storage and memory demands and computational complexity. For high quality speech synthesis, the speech corpus usually consists of several thousands of sentences. Thus an appropriate reduction of the corpus size is likely to lead to a decrease in the system requirements. In this work, a comparison of impacts on synthetic speech quality is presented when removing specific instances of different linguistic segment types from the original corpus. Removal of the following segment types is used and compared with each other: whole sentences, phrases, words, and diphones. Only segments with rarely selected units are removed from the corpus so that the resulting footprint size reaches a predefined value. Results confirm that synthetic speech generated by the TTS systems using the reduced corpora is of a slightly worse quality when compared with speech produced by the system employing the original full corpus. The comparison of the reduction based on different linguistic segments is also presented here. This paper is focused on reducing the size of speech corpora that are used in the unit-selection-based TTS systems. The size of a speech corpus influences the system requirements like storage and memory demands and computational complexity. For high quality speech synthesis, the speech corpus usually consists of several thousands of sentences. Thus an appropriate reduction of the corpus size is likely to lead to a decrease in the system requirements. In this work, a comparison of impacts on synthetic speech quality is presented when removing specific instances of different linguistic segment types from the original corpus. Removal of the following segment types is used and compared with each other: whole sentences, phrases, words, and diphones. Only segments with rarely selected units are removed from the corpus so that the resulting footprint size reaches a predefined value. Results confirm that synthetic speech generated by the TTS systems using the reduced corpora is of a slightly worse quality when compared with speech produced by the system employing the original full corpus. The comparison of the reduction based on different linguistic segments is also presented here. (en)
Title	REDUCING FOOTPRINT OF UNIT SELECTION TTS SYSTEM BY REMOVING LINGUISTIC SEGMENTS WITH RARELY SELECTED UNITS REDUCING FOOTPRINT OF UNIT SELECTION TTS SYSTEM BY REMOVING LINGUISTIC SEGMENTS WITH RARELY SELECTED UNITS (en)
skos:prefLabel	REDUCING FOOTPRINT OF UNIT SELECTION TTS SYSTEM BY REMOVING LINGUISTIC SEGMENTS WITH RARELY SELECTED UNITS REDUCING FOOTPRINT OF UNIT SELECTION TTS SYSTEM BY REMOVING LINGUISTIC SEGMENTS WITH RARELY SELECTED UNITS (en)
skos:notation	RIV/49777513:23520/14:43923362!RIV15-TA0-23520___
http://linked.open...avai/riv/aktivita	P
http://linked.open...avai/riv/aktivity	P(TA01011264)
http://linked.open...vai/riv/dodaniDat	2015
http://linked.open...aciTvurceVysledku	Tihelka, Daniel Matoušek, Jindřich Hanzlíček, Zdeněk Grůber, Martin
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Západočeská univerzita v Plzni / Fakulta aplikovaných věd
http://linked.open...dnocenehoVysledku	41706
http://linked.open...ai/riv/idVysledku	RIV/49777513:23520/14:43923362
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	speech synthesis, TTS, unit selection, reducing footprint (en)
http://linked.open.../riv/klicoveSlovo	TTS reducing footprint speech synthesis unit selection
http://linked.open...ontrolniKodProRIV	[866BE1F16D98]
http://linked.open...v/mistoKonaniAkce	HangZhou, CHINA
http://linked.open...i/riv/mistoVydani	Beijing
http://linked.open...i/riv/nazevZdroje	Proceedings,12th International Conference on Signal Processing
http://linked.open...in/vavai/riv/obor	JD
http://linked.open...ichTvurcuVysledku	4 (xsd:int)
http://linked.open...cetTvurcuVysledku	4 (xsd:int)
http://linked.open...vavai/riv/projekt	Elimination of the language barriers faced by the handicapped watchers of the Czech Television II
http://linked.open...UplatneniVysledku	2014
http://linked.open...iv/tvurceVysledku	Grůber, Martin Hanzlíček, Zdeněk Matoušek, Jindřich Tihelka, Daniel
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open.../riv/zahajeniAkce	2014-10-19 (xsd:date)
issn	2164-5221
number of pages	5 (xsd:int)
http://bibframe.org/vocab/doi	10.1109/ICOSP.2014.7015054
http://purl.org/ne...btex#hasPublisher	IEEE
https://schema.org/isbn	978-1-4799-2188-1
http://localhost/t...ganizacniJednotka	23520

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