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gordon wichern
gordon wichern
MERL
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Title
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Year
Wham!: Extending speech separation to noisy environments
G Wichern, J Antognini, M Flynn, LR Zhu, E McQuinn, D Crow, E Manilow, ...
arXiv preprint arXiv:1907.01160, 2019
1892019
End-to-end audio visual scene-aware dialog using multimodal attention-based video features
C Hori, H Alamri, J Wang, G Wichern, T Hori, A Cherian, TK Marks, ...
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
1132019
WHAMR!: Noisy and reverberant single-channel speech separation
M Maciejewski, G Wichern, E McQuinn, J Le Roux
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
1052020
Segmentation, indexing, and retrieval for environmental and natural sounds
G Wichern, J Xue, H Thornburg, B Mechtley, A Spanias
IEEE Transactions on Audio, Speech, and Language Processing 18 (3), 688-707, 2010
932010
Phasebook and friends: Leveraging discrete representations for source separation
J Le Roux, G Wichern, S Watanabe, A Sarroff, JR Hershey
IEEE Journal of Selected Topics in Signal Processing 13 (2), 370-382, 2019
762019
Cutting music source separation some Slakh: A dataset to study the impact of training data quality and quantity
E Manilow, G Wichern, P Seetharaman, J Le Roux
2019 IEEE Workshop on Applications of Signal Processing to Audio and …, 2019
752019
On the compensation between magnitude and phase in speech separation
ZQ Wang, G Wichern, J Le Roux
IEEE Signal Processing Letters 28, 2018-2022, 2021
442021
Class-conditional embeddings for music source separation
P Seetharaman, G Wichern, S Venkataramani, J Le Roux
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
432019
Bootstrapping single-channel source separation via unsupervised spatial clustering on stereo mixtures
P Seetharaman, G Wichern, J Le Roux, B Pardo
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
342019
Fast query by example of environmental sounds via robust and efficient cluster-based indexing
J Xue, G Wichern, H Thornburg, A Spanias
2008 IEEE International Conference on Acoustics, Speech and Signal …, 2008
282008
Autoclip: Adaptive gradient clipping for source separation networks
P Seetharaman, G Wichern, B Pardo, J Le Roux
2020 IEEE 30th International Workshop on Machine Learning for Signal …, 2020
272020
Finding strength in weakness: Learning to separate sounds with weak supervision
F Pishdadian, G Wichern, J Le Roux
IEEE/ACM Transactions on Audio, Speech, and Language Processing 28, 2386-2399, 2020
272020
Phase reconstruction with learned time-frequency representations for single-channel speech separation
G Wichern, J Le Roux
2018 16th International Workshop on Acoustic Signal Enhancement (IWAENC …, 2018
272018
Comparison of loudness features for automatic level adjustment in mixing
G Wichern, A Wishnick, A Lukin, H Robertson
Audio Engineering Society Convention 139, 2015
202015
Direct importance estimation with a mixture of probabilistic principal component analyzers
M Yamada, M Sugiyama, G Wichern, J Simm
IEICE Transactions on Information and Systems 93 (10), 2846-2849, 2010
202010
Systems and methods for automatically generating enhanced audio output
J McClellan, G Wichern, A Wishnick, A Lukin, M Hines
US Patent 10,635,389, 2020
192020
Multimodal attention for fusion of audio and spatiotemporal features for video description
C Hori, T Hori, G Wichern, J Wang, TY Lee, A Cherian, TK Marks
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
192018
Systems and methods for identifying and remediating sound masking
J McClellan, G Wichern, H Robertson, A Wishnick, A Lukin, M Hines, ...
US Patent 10,763,812, 2020
182020
Low-Latency approximation of bidirectional recurrent networks for speech denoising.
G Wichern, A Lukin
WASPAA, 66-70, 2017
182017
Robust multi-features segmentation and indexing for natural sound environments
G Wichern, H Thornburg, B Mechtley, A Fink, K Tu, A Spanias
2007 International Workshop on Content-Based Multimedia Indexing, 69-76, 2007
182007
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