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dc.contributor.authorBesacier, L.
dc.contributor.authorBarnard, E.
dc.contributor.authorKarpov, A.
dc.contributor.authorSchultz, T.
dc.date.accessioned2018-03-02T13:55:32Z
dc.date.available2018-03-02T13:55:32Z
dc.date.issued2014
dc.identifier.citationL. Besacier, E. Barnard, A. Karpov and T. Schultz, “Introduction to the special issue on processing under-resourced languages”, Speech Communications, Vol 56, pp 83-84, 2014. [http://engineering.nwu.ac.za/multilingual-speech-technologies-must/publications]en_US
dc.identifier.urihttp://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=5075779
dc.identifier.urihttps://link.springer.com/article/10.1007/s10579-017-9405-8
dc.identifier.urihttp://hdl.handle.net/10394/26494
dc.description.abstractThe creation of language and acoustic resources, for any given spoken language, is typically a costly task. For example, a large amount of time and money is required to properly create annotated speech corpora for automatic speech recognition (ASR), domain-specific text corpora for language modeling (LM), etc. The development of speech technologies (ASR, Text-to-Speech) for the already high-resourced languages (such as English, French or Mandarin, for example) is less constrained by this issue and, consequently, high-performance commercial systems are already on the market. On the other hand, for under-resourced languages, the above issue is typically the main obstacle.en_US
dc.description.sponsorshipSchool of Interdisciplinary Research and Graduate StudiesUniversity of South AfricaPretoriaSouth Africa Institute for Computational Linguistics A. ZampolliNational Research Council of Italy, PisaItalyen_US
dc.language.isoenen_US
dc.publisherSpeech Communicationsen_US
dc.subjectSpecial Issueen_US
dc.subjectProcessing Under-Resourced Languagesen_US
dc.subjectSpeech recognitionen_US
dc.subjectDomain-specific text corporaen_US
dc.titleIntroduction to the special issue on processing under-resourced languagesen_US
dc.typeArticleen_US


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