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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

  • Czech description

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