gordon wichern
gordon wichern
MERL
Verified email at asu.edu
Title
Cited by
Cited by
Year
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
842010
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
562019
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
502019
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
382019
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
272008
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
252018
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
222020
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
212019
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
192019
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
192010
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
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
172019
Comparison of loudness features for automatic level adjustment in mixing
G Wichern, A Wishnick, A Lukin, H Robertson
Audio Engineering Society Convention 139, 2015
172015
Improving the accuracy of least-squares probabilistic classifiers
M Yamada, M Sugiyama, G Wichern, J Simm
IEICE transactions on information and systems 94 (6), 1337-1340, 2011
152011
Low-Latency approximation of bidirectional recurrent networks for speech denoising.
G Wichern, A Lukin
WASPAA, 66-70, 2017
122017
Properties of randomly distributed sparse acoustic sensors for ground vehicle tracking and localization
MR Azimi-Sadjadi, Y Jiang, G Wichern
Sensors, and Command, Control, Communications, and Intelligence (C3I …, 2006
122006
Unifying semantic and content-based approaches for retrieval of environmental sounds
G Wichern, H Thornburg, A Spanias
2009 IEEE Workshop on Applications of Signal Processing to Audio and …, 2009
112009
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
102020
The Phasebook: Building complex masks via discrete representations for source separation
J Le Roux, G Wichern, S Watanabe, A Sarroff, JR Hershey
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
102019
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
102018
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Articles 1–20