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1
Language Recognition for Dialects and Closely Related Languages
In: Odyssey 2016 ; https://hal.archives-ouvertes.fr/hal-01744188 ; Odyssey 2016, Jun 2016, Bilbao, Spain (2016)
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2
Language Model Data Augmentation for Keyword Spotting
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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3
Investigating techniques for low resource conversational speech recognition
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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4
Multimodal Emotion Recognition for AVEC 2016 Challenge
In: Audio/Visual Emotion Challenge ; https://hal.archives-ouvertes.fr/hal-01837203 ; Audio/Visual Emotion Challenge, ACM, Oct 2016, Amsterdam, Netherlands (2016)
Abstract: International audience ; This paper describes a systems for emotion recognition and its application on the dataset from the AV+EC 2016 Emotion Recognition Challenge. The realized system was produced and submitted to the AV+EC 2016 evaluation, making use of all three modalities (audio, video, and physiological data). Our work primarily focused on features derived from audio. The original audio features were complement with bottleneck features and also text-based emotion recognition which is based on transcribing audio by an automatic speech recognition system and applying resources such as word embedding models and sentiment lexicons. Our multimodal fusion reached CCC=0.855 on dev set for arousal and 0.713 for valence. CCC on test set is 0.719 and 0.596 for arousal and valence respectively.
Keyword: [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]; [INFO]Computer Science [cs]; arousal; bottleneck features; emotion recognition; neural networks; regression; speech tran- scription; valence; word embedding
URL: https://hal.archives-ouvertes.fr/hal-01837203
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5
Marginal Contrast Among Romanian Vowels: Evidence from ASR and Functional Load
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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6
Réalisation phonétique et contraste phonologique marginal : une étude automatique des voyelles du roumain
In: JEP 2016 ; https://hal.archives-ouvertes.fr/hal-01452974 ; JEP 2016, Aug 2016, Paris, France (2016)
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7
BULB: Breaking the Unwritten Language Barrier
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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8
A phonologically weak contrast can induce phonetic overlap
In: Laboratory Phonology Conference ; https://hal.archives-ouvertes.fr/hal-01837204 ; Laboratory Phonology Conference, Jul 2016, Ithaca, United States (2016)
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9
Breaking the unwritten language barrier: the BULB project
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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10
Innovative technologies for under-resourced language documentation: The BULB Project
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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11
Improving Data Selection for Low Resource STT and KWS
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12
Machine Translation Based Data Augmentation for Cantonese Keyword Spotting (Author's Manuscript)
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13
Investigating Techniques for Low Resource Conversational Speech Recognition
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14
Breaking the unwritten language barrier: the BULB project
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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15
Innovative technologies for under-resourced language documentation: The BULB Project
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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16
BULB: Breaking the Unwritten Language Barrier
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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