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Pseudo-Labeling for Massively Multilingual Speech Recognition ...
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LIBRI-LIGHT: a benchmark for asr with limited or no supervision
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In: ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing ; https://hal.archives-ouvertes.fr/hal-02959460 ; ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing, May 2020, Barcelona / Virtual, Spain. pp.7669-7673, ⟨10.1109/ICASSP40776.2020.9052942⟩ (2020)
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Massively Multilingual ASR: 50 Languages, 1 Model, 1 Billion Parameters ...
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MLS: A Large-Scale Multilingual Dataset for Speech Research ...
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Unsupervised Cross-lingual Representation Learning for Speech Recognition ...
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End-to-End Acoustic Modeling using Convolutional Neural Networks for HMM-based Automatic Speech Recognition
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In: http://infoscience.epfl.ch/record/264125 (2019)
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End-to-End Speech Recognition From the Raw Waveform
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In: Interspeech 2018 ; https://hal.archives-ouvertes.fr/hal-01888739 ; Interspeech 2018, Sep 2018, Hyderabad, India. ⟨10.21437/Interspeech.2018-2414⟩ (2018)
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Learning linearly separable features for speech recognition using convolutional neural networks ...
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Estimating Phoneme Class Conditional Probabilities from Raw Speech Signal using Convolutional Neural Networks
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In: http://infoscience.epfl.ch/record/192756 (2013)
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Estimating Phoneme Class Conditional Probabilities from Raw Speech Signal using Convolutional Neural Networks
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In: http://infoscience.epfl.ch/record/192560 (2013)
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Estimating Phoneme Class Conditional Probabilities from Raw Speech Signal using Convolutional Neural Networks ...
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Towards Understanding Situated Natural Language
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In: 13th International Conference on Artificial Intelligence and Statistics ; https://hal.archives-ouvertes.fr/hal-00750937 ; 13th International Conference on Artificial Intelligence and Statistics, May 2010, Chia Laguna Resort, Sardinia, Italy. pp.65-72 (2010)
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Large Scale Application of Neural Network Based Semantic Role Labeling for Automated Relation Extraction from Biomedical Texts
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