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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 5 of 5 1 A Very Low Resource Language Speech Corpus for Computational Language Documentation Experiments ... Godard, P.; Adda, G.; Adda-Decker, M.. - : arXiv, 2017 BASE Show details 2 Call me Alix, not Elix: vowels are more important than consonants in own-name recognition at 5 months. Adda-Decker, M; Bouchon, C; Fux, T. - : England, 2015 BASE Show details 3 Acoustic-Phonetic Modeling of Non-Native Speech for Language Identification Wanneroy, R.; Bilinski, E.; Barras, C.; Adda-Decker, M.; Geoffrois, E. In: DTIC (2000) Abstract: The aim of this paper is to investigate to what extent non native speech may deteriorate language identification (LID) performances and to improve them using acoustic adaptation. Our reference LID system is based on a phonotactic approach. The system makes use of language-independent acoustic models and language-specific phone-based bigram language models. Experiments are conducted on the SQALE test database, which contains recordings from English, Erench and German native speakers, and on the MIST database, which contains non-native speech in the same languages uttered by Dutch speakers. Using 5 seconds of telephone quality speech, language identification error rate amounts to 10% for native speech and to 28% for non-native speech, thus yielding an important increase in error rate in the non-native case. We improve non-native language identification by an adaptation of the acoustic models to the non-native speech. ; Presented at the Information Systems Technology Panel (IST) Tutorial and Workshop held in Leusden, The Netherlands, 13-14 September 1999. This article is from ADA387529 Multi-Lingual Interoperability in Speech Technology (l'Interoperabilite multilinguistique dans la technologie de la parole) Keyword: *TELEPHONE SYSTEMS; ACOUSTICS; ADAPTATION; COMPONENT REPORT; DATA BASES; ERRORS; FOREIGN REPORTS; GERMANY(EAST AND WEST); IDENTIFICATION; LANGUAGE; MIST; NATO FURNISHED; QUALITY; SPEECH; SYMPOSIA; TEST AND EVALUATION; Voice Communications URL: http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADP010379 http://www.dtic.mil/docs/citations/ADP010379 BASE Hide details 4 Pronunciation variants across system configuration, language and speaking style Adda-Decker, M.; Lamel, L. In: Speech communication. - Amsterdam [u.a.] : Elsevier 29 (1999) 2, 83-98 OLC Linguistik Show details 5 Speaker-independent continuous speech dictation Gauvain, J L; Lamel, L F; Adda, G... In: Speech communication. - Amsterdam [u.a.] : Elsevier 15 (1994) 1-2, 21-38 OLC Linguistik Show details

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