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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 14 of 14 1 Pseudo-Labeling for Massively Multilingual Speech Recognition ... Lugosch, Loren; Likhomanenko, Tatiana; Synnaeve, Gabriel. - : arXiv, 2021 BASE Show details 2 LIBRI-LIGHT: a benchmark for asr with limited or no supervision Kahn, Jacob; Rivière, Morgane; Zheng, Weiyi... 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) BASE Show details 3 Massively Multilingual ASR: 50 Languages, 1 Model, 1 Billion Parameters ... Pratap, Vineel; Sriram, Anuroop; Tomasello, Paden; Hannun, Awni; Liptchinsky, Vitaliy; Synnaeve, Gabriel; Collobert, Ronan. - : arXiv, 2020 Abstract: We study training a single acoustic model for multiple languages with the aim of improving automatic speech recognition (ASR) performance on low-resource languages, and over-all simplifying deployment of ASR systems that support diverse languages. We perform an extensive benchmark on 51 languages, with varying amount of training data by language(from 100 hours to 1100 hours). We compare three variants of multilingual training from a single joint model without knowing the input language, to using this information, to multiple heads (one per language cluster). We show that multilingual training of ASR models on several languages can improve recognition performance, in particular, on low resource languages. We see 20.9%, 23% and 28.8% average WER relative reduction compared to monolingual baselines on joint model, joint model with language input and multi head model respectively. To our knowledge, this is the first work studying multilingual ASR at massive scale, with more than 50 languages and more than 16,000 ... 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.2007.03001 https://arxiv.org/abs/2007.03001 BASE Hide details 4 MLS: A Large-Scale Multilingual Dataset for Speech Research ... Pratap, Vineel; Xu, Qiantong; Sriram, Anuroop. - : arXiv, 2020 BASE Show details 5 Unsupervised Cross-lingual Representation Learning for Speech Recognition ... Conneau, Alexis; Baevski, Alexei; Collobert, Ronan. - : arXiv, 2020 BASE Show details 6 End-to-End Acoustic Modeling using Convolutional Neural Networks for HMM-based Automatic Speech Recognition Collobert, Ronan; Magimai.-Doss, Mathew; Palaz, Dimitri In: http://infoscience.epfl.ch/record/264125 (2019) BASE Show details 7 End-to-End Speech Recognition From the Raw Waveform Zeghidour, Neil; Usunier, Nicolas; Synnaeve, Gabriel... In: Interspeech 2018 ; https://hal.archives-ouvertes.fr/hal-01888739 ; Interspeech 2018, Sep 2018, Hyderabad, India. ⟨10.21437/Interspeech.2018-2414⟩ (2018) BASE Show details 8 Fully Convolutional Speech Recognition ... Zeghidour, Neil; Xu, Qiantong; Liptchinsky, Vitaliy. - : arXiv, 2018 BASE Show details 9 Learning linearly separable features for speech recognition using convolutional neural networks ... Palaz, Dimitri; Doss, Mathew Magimai; Collobert, Ronan. - : arXiv, 2014 BASE Show details 10 Estimating Phoneme Class Conditional Probabilities from Raw Speech Signal using Convolutional Neural Networks Magimai.-Doss, Mathew; Collobert, Ronan; Palaz, Dimitri In: http://infoscience.epfl.ch/record/192756 (2013) BASE Show details 11 Estimating Phoneme Class Conditional Probabilities from Raw Speech Signal using Convolutional Neural Networks Palaz, Dimitri; Magimai.-Doss, Mathew; Collobert, Ronan In: http://infoscience.epfl.ch/record/192560 (2013) BASE Show details 12 Estimating Phoneme Class Conditional Probabilities from Raw Speech Signal using Convolutional Neural Networks ... Palaz, Dimitri; Collobert, Ronan; -Doss, Mathew Magimai.. - : arXiv, 2013 BASE Show details 13 Towards Understanding Situated Natural Language Bordes, Antoine; Usunier, Nicolas; Collobert, Ronan... 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) BASE Show details 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 BASE Show details

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