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The French-Algerian Code-Switching Triggered audio corpus (FACST)
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In: International Conference on Language Resources and Evaluation ; https://hal.archives-ouvertes.fr/hal-01837163 ; International Conference on Language Resources and Evaluation, ELRA, May 2018, Miyazaki, Japan (2018)
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Studying Vowel Variation in French-Algerian Arabic Code-switched Speech
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In: Annual Conference of the International Speech Communication Association ; https://hal.archives-ouvertes.fr/hal-02387386 ; Annual Conference of the International Speech Communication Association, ISCA, Sep 2018, Hyderabad, India (2018)
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Effective keyword search for low-resourced conversational speech
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In: icassp 2017 ; https://hal.archives-ouvertes.fr/hal-01744176 ; icassp 2017, IEEE, Mar 2017, La Nouvelle Orléans, United States (2017)
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Developing an Embosi (Bantu C25) Speech Variant Dictionary to Model Vowel Elision and Morpheme Deletion
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In: Annual Conference of the International Speech Communication Association ; https://hal.archives-ouvertes.fr/hal-01837178 ; Annual Conference of the International Speech Communication Association , ISCA, Aug 2017, Stockholm, Sweden (2017)
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Schwa Realization in French: Using Automatic Speech Processing to Study Phonological and Socio-linguistic Factors in Large Corpora
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In: Annual Conference of the International Speech Communication Association ; https://hal.archives-ouvertes.fr/hal-01837179 ; Annual Conference of the International Speech Communication Association , ISCA, Aug 2017, Stockholm, Sweden (2017)
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Addressing Code-Switching in French/Algerian Arabic Speech
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In: Interspeech 2017 ; https://halshs.archives-ouvertes.fr/halshs-01969148 ; Interspeech 2017, Aug 2017, Stockholm, Sweden. pp.62-66, ⟨10.21437/interspeech.2017-1373⟩ (2017)
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An investigation into language model data augmentation for low-resourced STT and KWS
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In: IEEE International Conference on Acoustics, Speech, and Signal Processing ; https://hal.archives-ouvertes.fr/hal-01837171 ; IEEE International Conference on Acoustics, Speech, and Signal Processing, IEEE, Mar 2017, New Orleans, United States (2017)
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Addressing Code-Switching in French/Algerian Arabic Speech
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In: Annual Conference of the International Speech Communication Association ; https://hal.archives-ouvertes.fr/hal-01837206 ; Annual Conference of the International Speech Communication Association , ISCA, Aug 2017, Stockholm, Sweden (2017)
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Corpus base linguistic exploration via forced alignments with a ‘light-weight’ ASR tool
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In: Language & Technology Conference : Human Language Technologies as a Challenge for Computer Science and Linguistics ; https://hal.archives-ouvertes.fr/hal-01837174 ; Language & Technology Conference : Human Language Technologies as a Challenge for Computer Science and Linguistics, Nov 2017, Poznań, Poland (2017)
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Discovering speech reductions across speaking styles and languages
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In: Rethinking reduction: Interdisciplinary perspectives on conditions, mechanisms, and domains for phonetic variation ; https://halshs.archives-ouvertes.fr/halshs-01507312 ; Cangemi, F., Clayards M., Niebuhr O., Schuppler B., & Zellers M. Rethinking reduction: Interdisciplinary perspectives on conditions, mechanisms, and domains for phonetic variation, De Gruyter Mouton 2017 (2017)
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Phonetic variation and contrast neutralization patterns in Romanian fricatives accross different speaking styles
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In: Diversity and Speech Dynamics ; https://hal.archives-ouvertes.fr/hal-01837181 ; Diversity and Speech Dynamics, May 2017, Herrsching am Ammersee, Germany (2017)
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Language Recognition for Dialects and Closely Related Languages
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In: Odyssey 2016 ; https://hal.archives-ouvertes.fr/hal-01744188 ; Odyssey 2016, Jun 2016, Bilbao, Spain (2016)
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Language Model Data Augmentation for Keyword Spotting
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In: Annual Conference of the International Speech Communication Association ; https://hal.archives-ouvertes.fr/hal-01837186 ; Annual Conference of the International Speech Communication Association , Jan 2016, San Francisco, United States (2016)
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Abstract:
International audience ; This research extends our earlier work on using machinetranslation (MT) and word-based recurrent neural networks toaugment language model training data for keyword search inconversational Cantonese speech. MT-based data augmenta-tion is applied to two language pairs: English-Lithuanian andEnglish-Amharic. Using filtered N-best MT hypotheses for lan-guage modeling is found to perform better than just using the 1-best translation. Target language texts collected from the Weband filtered to select conversational-like data are used in severalmanners. In addition to using Web data for training the languagemodel of the speech recognizer, we further investigate using thisdata to improve the language model and phrase table of the MTsystem to get better translations of the English data. Finally,generating text data with a character-based recurrent neural net-work is investigated. This approach allows new word forms tobe produced, providing a way to reduce the out-of-vocabularyrate and thereby improve keyword spotting performance. Westudy how these different methods of language model data aug-mentation impact speech-to-text and keyword spotting perfor-mance for the Lithuanian and Amharic languages. The best re-sults are obtained by combining all of the explored methods.
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Keyword:
[INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]; [INFO]Computer Science [cs]; language modeling; low-resourced languages; machine translation; speech recognition; text augmentation
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URL: https://hal.archives-ouvertes.fr/hal-01837186
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Investigating techniques for low resource conversational speech recognition
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In: 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ; 41st IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2016) ; https://hal-univ-lemans.archives-ouvertes.fr/hal-01515254 ; 41st IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2016), Mar 2016, Shangai, China. pp.5975-5979, ⟨10.1109/ICASSP.2016.7472824⟩ ; www.icassp2016.org (2016)
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Multimodal Emotion Recognition for AVEC 2016 Challenge
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In: Audio/Visual Emotion Challenge ; https://hal.archives-ouvertes.fr/hal-01837203 ; Audio/Visual Emotion Challenge, ACM, Oct 2016, Amsterdam, Netherlands (2016)
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Marginal Contrast Among Romanian Vowels: Evidence from ASR and Functional Load
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In: Interspeech 2016 ; https://hal.archives-ouvertes.fr/hal-01453014 ; Interspeech 2016, ISCA, Sep 2016, San Francisco, United States. pp.2433 - 2437, ⟨10.21437/Interspeech.2016-762⟩ ; http://www.interspeech2016.org/ (2016)
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Réalisation phonétique et contraste phonologique marginal : une étude automatique des voyelles du roumain
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In: JEP 2016 ; https://hal.archives-ouvertes.fr/hal-01452974 ; JEP 2016, Aug 2016, Paris, France (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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