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Perceptual Loss based Speech Denoising with an ensemble of Audio Pattern Recognition and Self-Supervised Models.

S. Kataria, J. Villalba, and N. Dehak. CoRR, (2020)

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Najim Alnajim

Helene Najim

Ahmed Najim Din Fleega

Tahir Najim Rasool Baituschi

Other publications of authors with the same name

Attentive Filtering Networks for Audio Replay Attack Detection.C. Lai, A. Abad, K. Richmond, J. Yamagishi, N. Dehak, and S. King. CoRR, (2018)Interpretable speech features vs. DNN embeddings: What to use in the automatic assessment of Parkinson's disease in multi-lingual scenarios.A. Favaro, Y. Tsai, A. Butala, T. Thebaud, J. Villalba, N. Dehak, and L. Moro-Velázquez. Comput. Biol. Medicine, (November 2023)rVAD: An unsupervised segment-based robust voice activity detection method.Z. Tan, A. Sarkar, and N. Dehak. Comput. Speech Lang., (2020)Deep Neural Network Approaches to Speaker and Language Recognition.F. Richardson, D. Reynolds, and N. Dehak. IEEE Signal Process. Lett., 22 (10): 1671-1675 (2015)Non-Autoregressive Transformer for Speech Recognition.N. Chen, S. Watanabe, J. Villalba, P. Zelasko, and N. Dehak. IEEE Signal Process. Lett., (2021)NeuroSpeech: An open-source software for Parkinson's speech analysis.J. Orozco-Arroyave, J. Vásquez-Correa, J. Vargas-Bonilla, R. Arora, N. Dehak, P. Nidadavolu, H. Christensen, F. Rudzicz, M. Yancheva, H. Chinaei and 6 other author(s). Digit. Signal Process., (2018)Unraveling Adversarial Examples against Speaker Identification - Techniques for Attack Detection and Victim Model Classification.S. Joshi, T. Thebaud, J. Villalba, and N. Dehak. CoRR, (2024)Stabilized training of joint energy-based models and their practical applications.M. Sustek, S. Sadhu, L. Burget, H. Hermansky, J. Villalba, L. Moro-Velázquez, and N. Dehak. CoRR, (2023)Align or attend? Toward More Efficient and Accurate Spoken Word Discovery Using Speech-to-Image Retrieval.L. Wang, X. Wang, M. Hasegawa-Johnson, O. Scharenborg, and N. Dehak. ICASSP, page 7603-7607. IEEE, (2021)Focus on the Present: A Regularization Method for the ASR Source-Target Attention Layer.N. Chen, P. Zelasko, J. Villalba, and N. Dehak. ICASSP, page 5994-5998. IEEE, (2021)

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Disambiguation of "Dehak, Najim"

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Perceptual Loss based Speech Denoising with an ensemble of Audio Pattern Recognition and Self-Supervised Models.

Please choose a person to relate this publication to

Najim Alnajim

Helene Najim

Ahmed Najim Din Fleega

Tahir Najim Rasool Baituschi

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Dehak, Najim"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Perceptual Loss based Speech Denoising with an ensemble of Audio Pattern Recognition and Self-Supervised Models.

Please choose a person to relate this publication to

Najim Alnajim

Helene Najim

Ahmed Najim Din Fleega

Tahir Najim Rasool Baituschi

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

Perceptual Loss based Speech Denoising with an ensemble of Audio Pattern Recognition and Self-Supervised Models.