About: Automatic Segmentation of Parasitic Sounds in Speech Corpora for TTS Synthesis

Facets (new session)
Description
Metadata
Settings
- owl:sameAs
- Inference Rule:

About: Automatic Segmentation of Parasitic Sounds in Speech Corpora for TTS Synthesis Goto Sponge NotDistinct Permalink

An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

Attributes	Values
rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	In this paper, automatic segmentation of parasitic speech sounds in speech corpora for text-to-speech (TTS) synthesis is presented. The automatic segmentation is, beside the automatic detection of the presence of such sounds in speech corpora, an important step in the precise localisation of parasitic sounds in speech corpora. The main goal of this study is to find out whether the segmentation of these sounds is accurate enough to enable cutting the sounds out of synthetic speech or explicit modelling of these sounds during synthesis. HMM-based classifier was employed to detect the parasitic sounds and to find the boundaries between these sounds and the surrounding phones simultaneously. The results show that the automatic segmentation of parasitic sounds is comparable to the segmentation of other phones, which indicates that the cutting out or the explicit usage of parasitic sounds should be possible. In this paper, automatic segmentation of parasitic speech sounds in speech corpora for text-to-speech (TTS) synthesis is presented. The automatic segmentation is, beside the automatic detection of the presence of such sounds in speech corpora, an important step in the precise localisation of parasitic sounds in speech corpora. The main goal of this study is to find out whether the segmentation of these sounds is accurate enough to enable cutting the sounds out of synthetic speech or explicit modelling of these sounds during synthesis. HMM-based classifier was employed to detect the parasitic sounds and to find the boundaries between these sounds and the surrounding phones simultaneously. The results show that the automatic segmentation of parasitic sounds is comparable to the segmentation of other phones, which indicates that the cutting out or the explicit usage of parasitic sounds should be possible. (en)
Title	Automatic Segmentation of Parasitic Sounds in Speech Corpora for TTS Synthesis Automatic Segmentation of Parasitic Sounds in Speech Corpora for TTS Synthesis (en)
skos:prefLabel	Automatic Segmentation of Parasitic Sounds in Speech Corpora for TTS Synthesis Automatic Segmentation of Parasitic Sounds in Speech Corpora for TTS Synthesis (en)
skos:notation	RIV/49777513:23520/10:00504448!RIV11-GA0-23520___
http://linked.open...avai/riv/aktivita	P
http://linked.open...avai/riv/aktivity	P(GA102/09/0989)
http://linked.open...iv/cisloPeriodika	6231
http://linked.open...vai/riv/dodaniDat	2011
http://linked.open...aciTvurceVysledku	Matoušek, Jindřich
http://linked.open.../riv/druhVysledku	J - Článek v odborném periodiku
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	248199
http://linked.open...ai/riv/idVysledku	RIV/49777513:23520/10:00504448
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	parasitic speech sound; speech synthesis; unit selection; HMM; automatic phonetic segmentation (en)
http://linked.open.../riv/klicoveSlovo	HMM parasitic speech sound automatic phonetic segmentation speech synthesis unit selection
http://linked.open...odStatuVydavatele	DE - Spolková republika Německo
http://linked.open...ontrolniKodProRIV	[36EC63E0F561]
http://linked.open...i/riv/nazevZdroje	Lecture Notes in Artificial Intelligence
http://linked.open...in/vavai/riv/obor	JD
http://linked.open...ichTvurcuVysledku	1 (xsd:int)
http://linked.open...cetTvurcuVysledku	1 (xsd:int)
http://linked.open...vavai/riv/projekt	New innovative methods for high-quality synthesis of Czech speech
http://linked.open...UplatneniVysledku	2010
http://linked.open...v/svazekPeriodika	2010
http://linked.open...iv/tvurceVysledku	Matoušek, Jindřich
issn	0302-9743
number of pages	8 (xsd:int)
http://localhost/t...ganizacniJednotka	23520

Faceted Search & Find service v1.16.118 as of Jun 21 2024

Alternative Linked Data Documents: ODE Content Formats:

RDF

ODATA

Microdata

About

OpenLink Virtuoso version 07.20.3240 as of Jun 21 2024, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (126 GB total memory, 48 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software