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"This is Houston. Say again, please". The Behavox system for the Apollo-11 Fearless Steps Challenge (phase II) ...
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Conversational telephone speech recognition for Lithuanian
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In: ISSN: 0885-2308 ; EISSN: 1095-8363 ; Computer Speech and Language ; https://hal.archives-ouvertes.fr/hal-01837147 ; Computer Speech and Language, Elsevier, 2018, 49, pp.71-82 (2018)
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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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Abstract:
International audience ; This paper reports on investigations using two techniques for language model text dataaugmentation for low-resourced automatic speech recognition and keyword search. Low-resourced languages are characterized by limited training materials, which typically resultsin high out-of-vocabulary (OOV) rates and poor language model estimates. One techniquemakes use of recurrent neural networks (RNNs) using word or subword units. Word-basedRNNs keep the same system vocabulary, so they cannot reduce the OOV, whereas subwordunits can reduce the OOV but generate many false combinations. A complementarytechnique is based on automatic machine translation, which requires parallel texts and isable to add words to the vocabulary. These methods were assessed on 10 languages in thecontext of the Babel program and NIST OpenKWS evaluation. Although improvements vary across languages with both methods, small gains were generally observed in terms of word error rate reduction and improved keyword search performance.
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Keyword:
[INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]; [INFO]Computer Science [cs]; keyword search; low resourced languages; multilingual; speech recognition
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URL: https://hal.archives-ouvertes.fr/hal-01837171
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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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Machine Translation Based Data Augmentation for Cantonese Keyword Spotting (Author's Manuscript)
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Explicit trajectories and speaker class modeling for child and adult speech recognition ; Modélisation de trajectoires et de classes de locuteurs pour la reconnaissance de voix d'enfants et d'adultes
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In: XXXème édition des Journées d'Etudes sur la Parole ; https://hal.inria.fr/hal-01080343 ; XXXème édition des Journées d'Etudes sur la Parole, Jun 2014, Le Mans, France (2014)
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Component Structuring and Trajectory Modeling for Speech Recognition
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In: Interspeech ; https://hal.inria.fr/hal-01063653 ; Interspeech, Sep 2014, Singapoore, Singapore (2014)
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Efficient constrained parametrization of GMM with class-based mixture weights for Automatic Speech Recognition
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In: LTC'13 - 6th Language & Technology Conference: Human Language Technologies as a Challenge for Computer Science and Linguistics ; https://hal.inria.fr/hal-00923202 ; LTC'13 - 6th Language & Technology Conference: Human Language Technologies as a Challenge for Computer Science and Linguistics, Dec 2013, Poznań, Poland (2013)
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