About: On the Impact of Annotation Errors on Unit-Selection Speech Synthesis

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

About: On the Impact of Annotation Errors on Unit-Selection Speech 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	Unit selection is a very popular approach to speech synthesis. It is known for its ability to produce nearly natural-sounding synthetic speech, but, at the same time, also for its need for very large speech corpora. In addition, unit selection is also known to be very sensitive to the quality of the source speech corpus the speech is synthesised from and its textual, phonetic and prosodic annotations and indexation. Given the enormous size of current speech corpora, manual annotation of the corpora is a lengthy process. Despite this fact, human annotators do make errors. In this paper, the impact of annotation errors on the quality of unit-selection-based synthetic speech is analysed. Firstly, an analysis and categorisation of annotation errors is presented. Then, a speech synthesis experiment, in which the same utterances were synthesised by unit-selection systems with and without annotation errors, is described. Results of the experiment and the options for fixing the annotation errors are discussed as well. Unit selection is a very popular approach to speech synthesis. It is known for its ability to produce nearly natural-sounding synthetic speech, but, at the same time, also for its need for very large speech corpora. In addition, unit selection is also known to be very sensitive to the quality of the source speech corpus the speech is synthesised from and its textual, phonetic and prosodic annotations and indexation. Given the enormous size of current speech corpora, manual annotation of the corpora is a lengthy process. Despite this fact, human annotators do make errors. In this paper, the impact of annotation errors on the quality of unit-selection-based synthetic speech is analysed. Firstly, an analysis and categorisation of annotation errors is presented. Then, a speech synthesis experiment, in which the same utterances were synthesised by unit-selection systems with and without annotation errors, is described. Results of the experiment and the options for fixing the annotation errors are discussed as well. (en)
Title	On the Impact of Annotation Errors on Unit-Selection Speech Synthesis On the Impact of Annotation Errors on Unit-Selection Speech Synthesis (en)
skos:prefLabel	On the Impact of Annotation Errors on Unit-Selection Speech Synthesis On the Impact of Annotation Errors on Unit-Selection Speech Synthesis (en)
skos:notation	RIV/49777513:23520/12:43916071!RIV13-MSM-23520___
http://linked.open...avai/predkladatel	Fakulta aplikovaných věd
http://linked.open...avai/riv/aktivita	P
http://linked.open...avai/riv/aktivity	P(ED1.1.00/02.0090), P(TA01030476)
http://linked.open...iv/cisloPeriodika	7499
http://linked.open...vai/riv/dodaniDat	2013
http://linked.open...aciTvurceVysledku	Tihelka, Daniel Matoušek, Jindřich Šmídl, Luboš
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	156412
http://linked.open...ai/riv/idVysledku	RIV/49777513:23520/12:43916071
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	annotation errors; unit selection; speech synthesis (en)
http://linked.open.../riv/klicoveSlovo	speech synthesis unit selection annotation errors
http://linked.open...odStatuVydavatele	DE - Spolková republika Německo
http://linked.open...ontrolniKodProRIV	[D3DE4A8A5673]
http://linked.open...i/riv/nazevZdroje	Lecture Notes in Artificial Intelligence
http://linked.open...in/vavai/riv/obor	JD
http://linked.open...ichTvurcuVysledku	3 (xsd:int)
http://linked.open...cetTvurcuVysledku	3 (xsd:int)
http://linked.open...vavai/riv/projekt	Intelligent technologies for improving air traffic security NTIS - New Technologies for Information Society
http://linked.open...UplatneniVysledku	2012
http://linked.open...v/svazekPeriodika	2012
http://linked.open...iv/tvurceVysledku	Matoušek, Jindřich Tihelka, Daniel Šmídl, Luboš
issn	0302-9743
number of pages	8 (xsd:int)
http://bibframe.org/vocab/doi	10.1007/978-3-642-32790-2_55
http://localhost/t...ganizacniJednotka	23520
is http://linked.open...avai/riv/vysledek of	On the Impact of Annotation Errors on Unit-Selection Speech Synthesis

Faceted Search & Find service v1.16.116 as of Feb 22 2024

Alternative Linked Data Documents: ODE Content Formats:

RDF

ODATA

Microdata

About

OpenLink Virtuoso version 07.20.3239 as of Feb 22 2024, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (126 GB total memory, 68 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software