Anomaly-Based Annotation Errors Detection in TTS Corpora
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F15%3A43926613" target="_blank" >RIV/49777513:23520/15:43926613 - isvavai.cz</a>
Result on the web
<a href="http://www.isca-speech.org/archive/interspeech_2015/i15_0314.html" target="_blank" >http://www.isca-speech.org/archive/interspeech_2015/i15_0314.html</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Anomaly-Based Annotation Errors Detection in TTS Corpora
Original language description
In this paper we adopt several anomaly detection methods to detect annotation errors in single-speaker read-speech corpora used for text-to-speech (TTS) synthesis. Correctly annotated words are considered as normal examples on which the detec- tion methods are trained. Misannotated words are then taken as anomalous examples which do not conform to normal patterns of the trained detection models. Word-level feature sets including basic features derived from forced alignment, and various acoustic, spectral, phonetic, and positional features were examined. Dimensionality reduction techniques were also applied to reduce the number of features. The first results with F1 score being almost 89% show that anomaly detection could help in detecting annotation errors in read-speech corpora for TTS synthesis.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20205 - Automation and control systems
Result continuities
Project
<a href="/en/project/TA01030476" target="_blank" >TA01030476: Intelligent technologies for improving air traffic security</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 16th Annual Conference of the International Speech Communication Association (Interspeech 2015)
ISBN
978-1-5108-1790-6
ISSN
2308-457X
e-ISSN
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Number of pages
5
Pages from-to
314-318
Publisher name
Curran Associates, Inc.
Place of publication
New York
Event location
Dresden, Germany
Event date
Sep 6, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000380581600064