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A phonologically weak contrast can induce phonetic overlap
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In: Laboratory Phonology Conference ; https://hal.archives-ouvertes.fr/hal-01837204 ; Laboratory Phonology Conference, Jul 2016, Ithaca, United States (2016)
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Breaking the unwritten language barrier: the BULB project
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In: SLTU-2016 5th Workshop on Spoken Language Technologies for Under-resourced languages ; https://halshs.archives-ouvertes.fr/halshs-01428027 ; SLTU-2016 5th Workshop on Spoken Language Technologies for Under-resourced languages, May 2016, Yogyakarta, Indonesia. ⟨10.1016/j.procs.2016.04.023⟩ (2016)
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Innovative technologies for under-resourced language documentation: The BULB Project
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In: CCURL proceedings ; Workshop CCURL 2016 - Collaboration and Computing for Under-Resourced Languages - LREC ; https://hal.archives-ouvertes.fr/hal-01350124 ; Workshop CCURL 2016 - Collaboration and Computing for Under-Resourced Languages - LREC, May 2016, Portoroz, Slovenia (2016)
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Machine Translation Based Data Augmentation for Cantonese Keyword Spotting (Author's Manuscript)
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Investigating Techniques for Low Resource Conversational Speech Recognition
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Breaking the unwritten language barrier: the BULB project
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In: SLTU-2016 5th Workshop on Spoken Language Technologies for Under-resourced languages ; https://halshs.archives-ouvertes.fr/halshs-01428027 ; SLTU-2016 5th Workshop on Spoken Language Technologies for Under-resourced languages, May 2016, Yogyakarta, Indonesia. ⟨10.1016/j.procs.2016.04.023⟩ (2016)
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Innovative technologies for under-resourced language documentation: The BULB Project
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In: CCURL proceedings ; Workshop CCURL 2016 - Collaboration and Computing for Under-Resourced Languages - LREC ; https://hal.archives-ouvertes.fr/hal-01350124 ; Workshop CCURL 2016 - Collaboration and Computing for Under-Resourced Languages - LREC, May 2016, Portoroz, Slovenia (2016)
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BULB: Breaking the Unwritten Language Barrier
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In: Procedia Computer Science ; Computational Methods for Endangered Language Documentation and Description ; https://hal.archives-ouvertes.fr/hal-01836496 ; Computational Methods for Endangered Language Documentation and Description, May 2016, Yogyakarta, Indonesia. pp.8-14, ⟨10.1016/j.procs.2016.04.023⟩ (2016)
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Analysing rhythm in ritual discourse in Yucatec Maya using automatic speech alignment
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In: Interspeech 2015 Speech beyond speech ; https://halshs.archives-ouvertes.fr/halshs-01250490 ; Interspeech 2015 Speech beyond speech, Sep 2015, Dresden, Germany ; http://interspeech2015.org/ (2015)
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Dropping of the Class-Prefix Consonant, Vowel Elision and Automatic Phonological Mining in Embosi (Bantu C 25)
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In: ISSN: 9781574734652 ; Selected Proceedings of the 44th Annual Conference on African Linguistics ; https://halshs.archives-ouvertes.fr/halshs-01251202 ; Selected Proceedings of the 44th Annual Conference on African Linguistics, Ruth Kramer, Elizabeth C. Zsiga, and One Tlale Boyer, Cascadilla Proceedings Project, 2015, pp. 221-230 (2015)
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Traduction de la parole dans le projet RAPMAT
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In: Journées d'Études sur la Parole ; https://hal.archives-ouvertes.fr/hal-01843418 ; Journées d'Études sur la Parole, Jan 2014, Le Mans, France (2014)
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Speech-to-Text Development for Slovak, a Low-Resourced Language
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In: International Workshop on Spoken Languages Technologies for Under-resourced languages ; https://hal.archives-ouvertes.fr/hal-01843417 ; International Workshop on Spoken Languages Technologies for Under-resourced languages, May 2014, St. Petersburg, Russia (2014)
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Comparing decoding strategies for subword-based keyword spotting in low-resourced languages
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In: Annual Conference of the International Speech Communication Association ; https://hal.archives-ouvertes.fr/hal-01843408 ; Annual Conference of the International Speech Communication Association , ISCA, Sep 2014, Singapore, Singapore (2014)
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Analyzing linguistic variation in a Romanian speech corpus through ASR errors
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In: Laboratory Approaches to Romance Phonology ; https://hal.archives-ouvertes.fr/hal-01843421 ; Laboratory Approaches to Romance Phonology, Laboratoire Parole et Langage (UMR 6057), Aix-en-Provence, Sep 2014, Aix-en-Provence, France (2014)
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Efficient Rule Scoring for Improved Grapheme-Based Lexicons
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In: European Signal Processing Conference ; https://hal.archives-ouvertes.fr/hal-01843411 ; European Signal Processing Conference, Jan 2014, Lisbon, Portugal (2014)
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Automatic language identity tagging on word and sentence-level in multilingual text sources: a case-study on Luxembourgish
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In: International Conference on Language Resources and Evaluation ; https://hal.archives-ouvertes.fr/hal-01843401 ; International Conference on Language Resources and Evaluation, May 2014, Reykjavik, Iceland (2014)
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Cross-Word Sub-Word Units for Low-Resource Keyword Spotting
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In: International Workshop on Spoken Languages Technologies for Under-resourced languages ; https://hal.archives-ouvertes.fr/hal-01843415 ; International Workshop on Spoken Languages Technologies for Under-resourced languages, May 2014, St. Petersburg, Russia (2014)
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Automatic Language Identity Tagging on Word and Sentence-Level in Multilingual Text Sources: a Case-Study on Luxembourgish
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In: Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14) ; Ninth International Conference on Language Resources and Evaluation (LREC'14) ; https://hal.archives-ouvertes.fr/hal-01134776 ; Ninth International Conference on Language Resources and Evaluation (LREC'14), European Language Resources Association (ELRA), May 2014, Reykjavik, Iceland. pp.3300-3304 ; http://lrec2014.lrec-conf.org/en/ (2014)
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Development of a Korean speech recognition system with little annontated data
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In: International Workshop on Spoken Languages Technologies for Under-resourced languages ; https://hal.archives-ouvertes.fr/hal-01843405 ; International Workshop on Spoken Languages Technologies for Under-resourced languages, May 2014, St Petersburg, Russia (2014)
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Abstract:
International audience ; This paper investigates the development of a speech-to-text transcription system for the Korean language in the context of the DGA RAPID Rapmat project. Korean is an alpha-syllabary language spoken by about 78 million people worldwide. As only a small amount of manually transcribed audio data were available, the acoustic models were trained on audio data downloaded from several Korean websites in an unsupervised manner, and the language models were trained on web texts. The reported word and character error rates are estimates, as development corpus used in these experiments was also constructed from the untranscribed audio data, the web texts and automatic transcriptions. Several variants for unsupervised acoustic model training were compared to assess the influence of the vocabulary size (200k vs 2M), the type of language model (words vs characters), the acoustic unit (phonemes vs half-syllables), as well as incremental batch vs iterative decoding of the untranscribed audio corpus.
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Keyword:
[INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]; [INFO]Computer Science [cs]; approximative transcripts; korean; Speech recognition system; unsupervised acoustic training
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URL: https://hal.archives-ouvertes.fr/hal-01843405
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