Voting Detector: A Combination of Anomaly Detectors to Reveal Annotation Errors 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%2F16%3A43929949" target="_blank" >RIV/49777513:23520/16:43929949 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.21437/Interspeech.2016-442" target="_blank" >http://dx.doi.org/10.21437/Interspeech.2016-442</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.21437/Interspeech.2016-442" target="_blank" >10.21437/Interspeech.2016-442</a>
Alternative languages
Result language
angličtina
Original language name
Voting Detector: A Combination of Anomaly Detectors to Reveal Annotation Errors in TTS Corpora
Original language description
Anomaly detection techniques were shown to help in detecting word-level annotation errors in read-speech corpora for text-to-speech synthesis. In this framework, correctly annotated words are considered as normal examples on which the detection methods are trained. Misannotated words are then taken as anomalous examples which do not conform to normal patterns of the trained detection models. In this paper we propose a concept of a voting detector—a combination of anomaly detectors in which each “single” detector “votes” on whether a testing word is annotated correctly or not. The final decision is then made by aggregating the votes. Our experiments show that voting detector has a potential to overcome each of the single anomaly detectors.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
20205 - Automation and control systems
Result continuities
Project
<a href="/en/project/GA16-04420S" target="_blank" >GA16-04420S: Combining phonetic and corpus-based approaches to remedy disruptive effects in synthetic speech</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2016
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 17th Annual Conference of the International Speech Communication Association (Interspeech 2016)
ISBN
978-1-5108-3313-5
ISSN
2308-457X
e-ISSN
—
Number of pages
5
Pages from-to
1560-1564
Publisher name
Curran Associates, Inc.
Place of publication
Red Hook, NY
Event location
San Francisco, USA
Event date
Sep 8, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000409394401007