NDLI: Phonetic unit selection for cross-lingual query-by-example spoken term detection

Content Provider	IEEE Xplore Digital Library
Author	Lopez-Otero, Paula Docio-Fernandez, Laura Garcia-Mateo, Carmen
Copyright Year	2015
Description	Author affiliation: AtlantTIC Research Center, E.E. Telecomunicación, Campus Universitario S/N, 36310, Vigo (Lopez-Otero, Paula; Docio-Fernandez, Laura; Garcia-Mateo, Carmen)
Abstract	Cross-lingual query-by-example spoken term detection (QbE STD) has caught the attention of speech researchers, as it makes it possible to develop systems for low-resource languages, in which the available amount of labelled data makes the training of automatic speech recognition approaches prohibitive. The use of phonetic posteriorgrams for speech representation combined with dynamic time warping search is a widely used approach for this task, but little attention has been focused in the suitability of a set of phonetic units to represent speech information spoken in a different language. This paper proposes a technique for estimating the relevance of phonetic units aiming at selecting the most suitable ones for a given target language. Experiments in a Spanish database using phoneme posteriorgrams in Czech, English, Hungarian and Russian proved the validity of the proposed method, as QbE STD performance was enhanced by reducing the set of phonetic units.
Starting Page	223
Ending Page	229
File Size	129411
Page Count	7
File Format	PDF
e-ISBN	9781479972913
DOI	10.1109/ASRU.2015.7404798
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-12-13
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Speech Databases Decoding Training Feature extraction Measurement Acoustics subsequence dynamic time warping Query-by-example spoken term detection phoneme posteriorgram
Content Type	Text
Resource Type	Article

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