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Rethinking Evaluation in ASR: Are Our Models Robust Enough?

T. Likhomanenko, Q. Xu, V. Pratap, P. Tomasello, J. Kahn, G. Avidov, R. Collobert, and G. Synnaeve. CoRR, (2020)

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Jacob Jacob

Werner Kähn

Ralph Kahn

Dietrich Kahn

Horst Kahn

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RA-DIT: Retrieval-Augmented Dual Instruction Tuning.X. Lin, X. Chen, M. Chen, W. Shi, M. Lomeli, R. James, P. Rodriguez, J. Kahn, G. Szilvasy, M. Lewis and 2 other author(s). CoRR, (2023)The Framework Tax: Disparities Between Inference Efficiency in Research and Deployment.J. Fernandez, J. Kahn, C. Na, Y. Bisk, and E. Strubell. CoRR, (2023)OLLA: Decreasing the Memory Usage of Neural Networks by Optimizing the Lifetime and Location of Arrays.B. Steiner, M. Elhoushi, J. Kahn, and J. Hegarty. CoRR, (2022)Branch-Train-MiX: Mixing Expert LLMs into a Mixture-of-Experts LLM.S. Sukhbaatar, O. Golovneva, V. Sharma, H. Xu, X. Lin, B. Rozière, J. Kahn, D. Li, W. tau Yih, J. Weston and 1 other author(s). CoRR, (2024)Libri-Light: A Benchmark for ASR with Limited or No Supervision.J. Kahn, M. Rivière, W. Zheng, E. Kharitonov, Q. Xu, P. Mazaré, J. Karadayi, V. Liptchinsky, R. Collobert, C. Fuegen and 5 other author(s). ICASSP, page 7669-7673. IEEE, (2020)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)TorchAudio 2.1: Advancing speech recognition, self-supervised learning, and audio processing components for PyTorch.J. Hwang, M. Hira, C. Chen, X. Zhang, Z. Ni, G. Sun, P. Ma, R. Huang, V. Pratap, Y. Zhang and 14 other author(s). CoRR, (2023)Differentiable Weighted Finite-State Transducers.A. Hannun, V. Pratap, J. Kahn, and W. Hsu. CoRR, (2020)Robust wav2vec 2.0: Analyzing Domain Shift in Self-Supervised Pre-Training.W. Hsu, A. Sriram, A. Baevski, T. Likhomanenko, Q. Xu, V. Pratap, J. Kahn, A. Lee, R. Collobert, G. Synnaeve and 1 other author(s). Interspeech, page 721-725. ISCA, (2021)MODeL: Memory Optimizations for Deep Learning.B. Steiner, M. Elhoushi, J. Kahn, and J. Hegarty. ICML, volume 202 of Proceedings of Machine Learning Research, page 32618-32632. PMLR, (2023)

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Disambiguation of "Kahn, Jacob"

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Rethinking Evaluation in ASR: Are Our Models Robust Enough?

Please choose a person to relate this publication to

Jacob Jacob

Werner Kähn

Ralph Kahn

Dietrich Kahn

Horst Kahn

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Kahn, Jacob"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Rethinking Evaluation in ASR: Are Our Models Robust Enough?

Please choose a person to relate this publication to

Jacob Jacob

Werner Kähn

Ralph Kahn

Dietrich Kahn

Horst Kahn

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Rethinking Evaluation in ASR: Are Our Models Robust Enough?