Přejít na obsah

Publikace

Detail publikace

Citace

Matoušek, J and Tihelka, D. : Anomaly-Based Annotation Errors Detection in TTS Corpora . Proceedings of the 16th Annual Conference of the International Speech Communication Association (Interspeech 2015), p. 314-318, Dresden, Germany, 2015.

Další informace


ISCA archive

Abstrakt

n 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.

Detail publikace

Název: Anomaly-Based Annotation Errors Detection in TTS Corpora
Autor: Matoušek, J ; Tihelka, D.
Název - česky: Detekce anotačních chyb v korpusech pro TTS založená na anomáliích
Jazyk publikace: anglicky
Datum vydání: 6.9.2015
Rok vydání: 2015
Typ publikace: Stať ve sborníku
Název knihy: Proceedings of the 16th Annual Conference of the International Speech Communication Association (Interspeech 2015)
Strana: 314 - 318
ISSN: 2308-457X
Místo vydání: Dresden, Germany
Datum: 6.9.2015 - 10.9.2015
/ 2016-01-13 17:33:14 /

Klíčová slova

annotation error detection, anomaly detection, read speech corpora, speech synthesis

BibTeX

@INPROCEEDINGS{MatousekJ_2015_Anomaly-Based,
 author = {Matou\v{s}ek, J and Tihelka, D.},
 title = {Anomaly-Based Annotation Errors Detection in TTS Corpora},
 year = {2015},
 address = {Dresden, Germany},
 pages = {314-318},
 booktitle = {Proceedings of the 16th Annual Conference of the International Speech Communication Association (Interspeech 2015)},
 ISSN = {2308-457X },
 url = {http://www.kky.zcu.cz/en/publications/MatousekJ_2015_Anomaly-Based},
}