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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

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

  • 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/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

  • 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