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Please use this identifier to cite or link to this item: http://hdl.handle.net/10204/1044

Title: Automatic error detection in alignments for speech synthesis
Authors: Barnard, E
Davel, M
Keywords: Speech synthesizer
Phonetic segmentation
Error detection
Unit-selection synthesizer
Issue Date: Nov-2006
Citation: Barnard, E and Davel, M. 2006. Automatic error detection in alignments for speech synthesis. 17th Annual Symposium of the Pattern Recognition Association of South Africa, Parys, South Africa, 29 Nov - 1 Dec 2006, pp 4
Abstract: The phonetic segmentation of recorded speech is a crucial factor in the quality of concatenative systems for speech synthesis. The authors describe a likelihood-based error detection process that can be used to flag possible errors in such a segmentation, with a view towards manual correction. It is shown that this process can be used to assist in the creation of high-accuracy segmentations. In particular, for an isiZulu corpus used in the creation of a unit-selection synthesizer, almost half of the errors that existed in a manual segmentation were detected by this process, while flagging less than a quarter of all segments. Different phoneme classes are handled with differing amounts of success, with vowels being the most troublesome
URI: http://hdl.handle.net/10204/1044
ISBN: 978-0-620-37384-5
Appears in Collections:Human language technologies
General science, engineering & technology

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