Title: | Annotation errors detection in TTS corpora |
Other Titles: | Detekce anotačních chyb v korpusech pro TTS |
Authors: | Matoušek, Jindřich Tihelka, Daniel |
Citation: | MATOUŠEK, Jindřich; TIHELKA, Daniel. Annotation errors detection in TTS corpora. In: Proceedings of ICSPL 2013: 14th Annual Conference of the International Speech Communication Association 2013, Lyon, France, 25-29 August 2013. [Baixas]: ISCA, 2013, p. 1511-1515. IBSN 978-1-62993-443-3. |
Issue Date: | 2013 |
Publisher: | ISCA |
Document type: | článek article |
URI: | http://www.kky.zcu.cz/cs/publications/MatousekJ_2013_AnnotationErrors http://hdl.handle.net/11025/17010 |
ISBN: | 978-1-62993-443-3 |
Keywords: | detekce anotačních chyb;klasifikace;detekce novinek;syntéza řeÄči |
Keywords in different language: | annotation error detection;classification;novelty detection;speech synthesis |
Abstract in different language: | We investigate the problem of automatic detection of annotation errors in single-speaker read-speech corpora used for text-to-speech (TTS) synthesis. Various word-level feature sets were used, and the performance of several detection methods based on support vector machines, extremely randomized trees, k-nearest neighbors, and the performance of novelty and outlier detection are evaluated. We show that both word- and utterance-level annotation error detections perform very well with both high precision and recall scores and with F1 measure being almost 90%, or 97%, respectively. |
Rights: | © Jindřichich Matoušek - Daniel Tihelka |
Appears in Collections: | Články / Articles (NTIS) Články / Articles (KIV) |
Files in This Item:
File | Description | Size | Format | |
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MatousekJ_2013_AnnotationErrors.pdf | Plný text | 214,82 kB | Adobe PDF | View/Open |
Please use this identifier to cite or link to this item:
http://hdl.handle.net/11025/17010
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