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dc.contributor.authorBesacier, Laurent
dc.contributor.authorBarnard, Etienne
dc.contributor.authorKarpov, Alexey
dc.contributor.authorSchultz, Tanja
dc.identifier.citationBesacier, L., Barnard, E., et al. 2014 Automatic speech recognition for under-resourced languages: A survey. Speech communications, 56:85-100. []en_US
dc.identifier.issn1573-9672 (O)
dc.description.abstractSpeech processing for under-resourced languages is an active field of research, which has experienced significant progress during the past decade. We propose, in this paper, a survey that focuses on automatic speech recognition (ASR) for these languages. The definition of under-resourced languages and the challenges associated to them are first defined. The main part of the paper is a literature review of the recent (last 8 years) contributions made in ASR for under-resourced languages. Examples of past projects and future trends when dealing with under-resourced languages are also presented. We believe that this paper will be a good starting point for anyone interested to initiate research in (or operational development of) ASR for one or several under-resourced languages. It should be clear, however, that many of the issues and approaches presented here, apply to speech technology in general (text-to-speech synthesis for instance).en_US
dc.subjectUnder-resourced languagesen_US
dc.subjectAutomatic speech recognition (ASR)en_US
dc.subjectLanguage portabilityen_US
dc.subjectSpeech and language resources acquisitionen_US
dc.subjectStatistical language modelingen_US
dc.subjectCrosslingual acoustic modeling and adaptationen_US
dc.subjectAutomatic pronunciation generationen_US
dc.subjectLexical modelingen_US
dc.titleAutomatic speech recognition for under-resourced languages: A surveyen_US
dc.contributor.researchID21021287 - Barnard, Etienne

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