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Wav2Letter++: A Fast Open-source Speech Recognition System.

V. Pratap, A. Hannun, Q. Xu, J. Cai, J. Kahn, G. Synnaeve, V. Liptchinsky, and R. Collobert. ICASSP, page 6460-6464. IEEE, (2019)

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Letter-Based Speech Recognition with Gated ConvNets.V. Liptchinsky, G. Synnaeve, and R. Collobert. CoRR, (2017)Flashlight: Enabling Innovation in Tools for Machine Learning.J. Kahn, V. Pratap, T. Likhomanenko, Q. Xu, A. Hannun, J. Cai, P. Tomasello, A. Lee, E. Grave, G. Avidov and 4 other author(s). CoRR, (2022)Statelets: Coordination of Social Collaboration Processes.V. Liptchinsky, R. Khazankin, H. Truong, and S. Dustdar. COORDINATION, volume 7274 of Lecture Notes in Computer Science, page 1-16. Springer, (2012)Crowdstore: A Crowdsourcing Graph Database.V. Liptchinsky, B. Satzger, S. Schulte, and S. Dustdar. CollaborateCom, volume 163 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, page 72-81. Springer, (2015)Self-supervised Pretraining of Visual Features in the WildP. Goyal, M. Caron, B. Lefaudeux, M. Xu, P. Wang, V. Pai, M. Singh, V. Liptchinsky, I. Misra, A. Joulin and 1 other author(s). (2021)cite arxiv:2103.01988.On modeling context-aware social collaboration processes.V. Liptchinsky, R. Khazankin, S. Schulte, B. Satzger, H. Truong, and S. Dustdar. Inf. Syst., (2014)To Reverse the Gradient or Not: an Empirical Comparison of Adversarial and Multi-task Learning in Speech Recognition.Y. Adi, N. Zeghidour, R. Collobert, N. Usunier, V. Liptchinsky, and G. Synnaeve. ICASSP, page 3742-3746. IEEE, (2019)End-to-end ASR: from Supervised to Semi-Supervised Learning with Modern Architectures.G. Synnaeve, Q. Xu, J. Kahn, E. Grave, T. Likhomanenko, V. Pratap, A. Sriram, V. Liptchinsky, and R. Collobert. CoRR, (2019)Fully Convolutional Speech Recognition.N. Zeghidour, Q. Xu, V. Liptchinsky, N. Usunier, G. Synnaeve, and R. Collobert. CoRR, (2018)Expressive languages for selecting groups from graph-structured data.V. Liptchinsky, B. Satzger, R. Zabolotnyi, and S. Dustdar. WWW, page 761-770. International World Wide Web Conferences Steering Committee / ACM, (2013)

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Wav2Letter++: A Fast Open-source Speech Recognition System.

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Wav2Letter++: A Fast Open-source Speech Recognition System.

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Wav2Letter++: A Fast Open-source Speech Recognition System.