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1
Pseudo-Labeling for Massively Multilingual Speech Recognition ...
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2
LIBRI-LIGHT: a benchmark for asr with limited or no supervision
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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3
Massively Multilingual ASR: 50 Languages, 1 Model, 1 Billion Parameters ...
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4
MLS: A Large-Scale Multilingual Dataset for Speech Research ...
Abstract: This paper introduces Multilingual LibriSpeech (MLS) dataset, a large multilingual corpus suitable for speech research. The dataset is derived from read audiobooks from LibriVox and consists of 8 languages, including about 44.5K hours of English and a total of about 6K hours for other languages. Additionally, we provide Language Models (LM) and baseline Automatic Speech Recognition (ASR) models and for all the languages in our dataset. We believe such a large transcribed dataset will open new avenues in ASR and Text-To-Speech (TTS) research. The dataset will be made freely available for anyone at http://www.openslr.org. ...
Keyword: Audio and Speech Processing eess.AS; Computation and Language cs.CL; FOS Computer and information sciences; FOS Electrical engineering, electronic engineering, information engineering; Sound cs.SD
URL: https://dx.doi.org/10.48550/arxiv.2012.03411
https://arxiv.org/abs/2012.03411
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5
Unsupervised Cross-lingual Representation Learning for Speech Recognition ...
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6
End-to-End Acoustic Modeling using Convolutional Neural Networks for HMM-based Automatic Speech Recognition
In: http://infoscience.epfl.ch/record/264125 (2019)
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7
End-to-End Speech Recognition From the Raw Waveform
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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8
Fully Convolutional Speech Recognition ...
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9
Learning linearly separable features for speech recognition using convolutional neural networks ...
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10
Estimating Phoneme Class Conditional Probabilities from Raw Speech Signal using Convolutional Neural Networks
In: http://infoscience.epfl.ch/record/192756 (2013)
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11
Estimating Phoneme Class Conditional Probabilities from Raw Speech Signal using Convolutional Neural Networks
In: http://infoscience.epfl.ch/record/192560 (2013)
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12
Estimating Phoneme Class Conditional Probabilities from Raw Speech Signal using Convolutional Neural Networks ...
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13
Towards Understanding Situated Natural Language
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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14
Large Scale Application of Neural Network Based Semantic Role Labeling for Automated Relation Extraction from Biomedical Texts
Barnickel, Thorsten; Weston, Jason; Collobert, Ronan. - : Public Library of Science, 2009
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