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2020 – today
- 2023
[j11]Zhong-Qiu Wang
, Gordon Wichern, Shinji Watanabe, Jonathan Le Roux:
STFT-Domain Neural Speech Enhancement With Very Low Algorithmic Latency. IEEE ACM Trans. Audio Speech Lang. Process. 31: 397-410 (2023)- 2022
- [c33]Satvik Venkatesh, Gordon Wichern, Aswin Shanmugam Subramanian, Jonathan Le Roux:
Improved Domain Generalization via Disentangled Multi-Task Learning in Unsupervised Anomalous Sound Detection. DCASE 2022 - [c32]Darius Petermann, Gordon Wichern, Zhong-Qiu Wang, Jonathan Le Roux:
The Cocktail Fork Problem: Three-Stem Audio Separation for Real-World Soundtracks. ICASSP 2022: 526-530 - [c31]Olga Slizovskaia, Gordon Wichern, Zhong-Qiu Wang, Jonathan Le Roux:
Locate This, Not that: Class-Conditioned Sound Event DOA Estimation. ICASSP 2022: 711-715 - [c30]Efthymios Tzinis, Gordon Wichern, Aswin Shanmugam Subramanian, Paris Smaragdis, Jonathan Le Roux:
Heterogeneous Target Speech Separation. INTERSPEECH 2022: 1796-1800 - [i28]Olga Slizovskaia, Gordon Wichern, Zhong-Qiu Wang, Jonathan Le Roux:
Locate This, Not That: Class-Conditioned Sound Event DOA Estimation. CoRR abs/2203.04197 (2022) - [i27]Efthymios Tzinis, Gordon Wichern, Aswin Shanmugam Subramanian, Paris Smaragdis, Jonathan Le Roux:
Heterogeneous Target Speech Separation. CoRR abs/2204.03594 (2022) - [i26]Zhong-Qiu Wang, Gordon Wichern, Shinji Watanabe, Jonathan Le Roux:
STFT-Domain Neural Speech Enhancement with Very Low Algorithmic Latency. CoRR abs/2204.09911 (2022) - [i25]Zexu Pan, Gordon Wichern, François G. Germain, Aswin Shanmugam Subramanian, Jonathan Le Roux:
Towards End-to-end Speaker Diarization in the Wild. CoRR abs/2211.01299 (2022) - [i24]Hao Yen, François G. Germain, Gordon Wichern, Jonathan Le Roux:
Cold Diffusion for Speech Enhancement. CoRR abs/2211.02527 (2022) - [i23]Efthymios Tzinis, Gordon Wichern, Paris Smaragdis, Jonathan Le Roux:
Optimal Condition Training for Target Source Separation. CoRR abs/2211.05927 (2022) - [i22]Ankush Chakrabarty, Gordon Wichern, Christopher R. Laughman:
Meta-Learning of Neural State-Space Models Using Data From Similar Systems. CoRR abs/2211.07768 (2022) - [i21]Rohith Aralikatti, Christoph Böddeker, Gordon Wichern, Aswin Shanmugam Subramanian, Jonathan Le Roux:
Reverberation as Supervision for Speech Separation. CoRR abs/2211.08303 (2022) - [i20]Dimitrios Bralios, Efthymios Tzinis, Gordon Wichern, Paris Smaragdis, Jonathan Le Roux:
Latent Iterative Refinement for Modular Source Separation. CoRR abs/2211.11917 (2022) - [i19]Darius Petermann, Gordon Wichern, Aswin Shanmugam Subramanian, Jonathan Le Roux:
Hyperbolic Audio Source Separation. CoRR abs/2212.05008 (2022) - [i18]Darius Petermann, Gordon Wichern, Aswin Shanmugam Subramanian, Zhong-Qiu Wang, Jonathan Le Roux:
Tackling the Cocktail Fork Problem for Separation and Transcription of Real-World Soundtracks. CoRR abs/2212.07327 (2022) - 2021
- [j10]Zhong-Qiu Wang, Gordon Wichern, Jonathan Le Roux:
On the Compensation Between Magnitude and Phase in Speech Separation. IEEE Signal Process. Lett. 28: 2018-2022 (2021) - [j9]Zhong-Qiu Wang, Gordon Wichern, Jonathan Le Roux:
Convolutive Prediction for Monaural Speech Dereverberation and Noisy-Reverberant Speaker Separation. IEEE ACM Trans. Audio Speech Lang. Process. 29: 3476-3490 (2021) - [c29]Yun-Ning Hung, Gordon Wichern, Jonathan Le Roux:
Transcription Is All You Need: Learning To Separate Musical Mixtures With Score As Supervision. ICASSP 2021: 46-50 - [c28]Zhong-Qiu Wang, Gordon Wichern, Jonathan Le Roux:
Convolutive Prediction for Reverberant Speech Separation. WASPAA 2021: 56-60 - [c27]Gordon Wichern, Ankush Chakrabarty, Zhong-Qiu Wang, Jonathan Le Roux:
Anomalous Sound Detection Using Attentive Neural Processes. WASPAA 2021: 186-190 - [i17]Ankush Chakrabarty, Gordon Wichern, Christopher R. Laughman:
Attentive Neural Processes and Batch Bayesian Optimization for Scalable Calibration of Physics-Informed Digital Twins. CoRR abs/2106.15502 (2021) - [i16]Zhong-Qiu Wang, Gordon Wichern, Jonathan Le Roux:
On The Compensation Between Magnitude and Phase in Speech Separation. CoRR abs/2108.05470 (2021) - [i15]Zhong-Qiu Wang, Gordon Wichern, Jonathan Le Roux:
Convolutive Prediction for Reverberant Speech Separation. CoRR abs/2108.07194 (2021) - [i14]Zhong-Qiu Wang, Gordon Wichern, Jonathan Le Roux:
Convolutive Prediction for Monaural Speech Dereverberation and Noisy-Reverberant Speaker Separation. CoRR abs/2108.07376 (2021) - [i13]Zhong-Qiu Wang, Gordon Wichern, Jonathan Le Roux:
Leveraging Low-Distortion Target Estimates for Improved Speech Enhancement. CoRR abs/2110.00570 (2021) - [i12]Darius Petermann, Gordon Wichern, Zhong-Qiu Wang, Jonathan Le Roux:
The Cocktail Fork Problem: Three-Stem Audio Separation for Real-World Soundtracks. CoRR abs/2110.09958 (2021) - 2020
- [j8]Fatemeh Pishdadian, Gordon Wichern, Jonathan Le Roux:
Finding Strength in Weakness: Learning to Separate Sounds With Weak Supervision. IEEE ACM Trans. Audio Speech Lang. Process. 28: 2386-2399 (2020) - [c26]Fatemeh Pishdadian, Gordon Wichern, Jonathan Le Roux:
Learning to Separate Sounds from Weakly Labeled Scenes. ICASSP 2020: 91-95 - [c25]Matthew Maciejewski, Gordon Wichern, Emmett McQuinn, Jonathan Le Roux:
WHAMR!: Noisy and Reverberant Single-Channel Speech Separation. ICASSP 2020: 696-700 - [c24]Niko Moritz, Gordon Wichern, Takaaki Hori, Jonathan Le Roux:
All-in-One Transformer: Unifying Speech Recognition, Audio Tagging, and Event Detection. INTERSPEECH 2020: 3112-3116 - [c23]Ethan Manilow, Gordon Wichern, Jonathan Le Roux:
Hierarchical Musical Instrument Separation. ISMIR 2020: 376-383 - [c22]Prem Seetharaman, Gordon Wichern, Bryan Pardo, Jonathan Le Roux:
Autoclip: Adaptive Gradient Clipping for Source Separation Networks. MLSP 2020: 1-6 - [i11]Prem Seetharaman, Gordon Wichern, Bryan Pardo, Jonathan Le Roux:
AutoClip: Adaptive Gradient Clipping for Source Separation Networks. CoRR abs/2007.14469 (2020) - [i10]Yun-Ning Hung, Gordon Wichern, Jonathan Le Roux:
Transcription Is All You Need: Learning to Separate Musical Mixtures with Score as Supervision. CoRR abs/2010.11904 (2020)
2010 – 2019
- 2019
- [j7]Jonathan Le Roux, Gordon Wichern, Shinji Watanabe, Andy M. Sarroff, John R. Hershey:
Phasebook and Friends: Leveraging Discrete Representations for Source Separation. IEEE J. Sel. Top. Signal Process. 13(2): 370-382 (2019) - [c21]Jonathan Le Roux, Gordon Wichern, Shinji Watanabe, Andy M. Sarroff, John R. Hershey:
The Phasebook: Building Complex Masks via Discrete Representations for Source Separation. ICASSP 2019: 66-70 - [c20]Prem Seetharaman, Gordon Wichern, Shrikant Venkataramani, Jonathan Le Roux:
Class-conditional Embeddings for Music Source Separation. ICASSP 2019: 301-305 - [c19]Prem Seetharaman, Gordon Wichern, Jonathan Le Roux, Bryan Pardo:
Bootstrapping Single-channel Source Separation via Unsupervised Spatial Clustering on Stereo Mixtures. ICASSP 2019: 356-360 - [c18]Ryo Aihara, Toshiyuki Hanazawa, Yohei Okato, Gordon Wichern, Jonathan Le Roux:
Teacher-student Deep Clustering for Low-delay Single Channel Speech Separation. ICASSP 2019: 690-694 - [c17]Chiori Hori, Huda AlAmri, Jue Wang, Gordon Wichern, Takaaki Hori, Anoop Cherian, Tim K. Marks, Vincent Cartillier, Raphael Gontijo Lopes, Abhishek Das, Irfan Essa, Dhruv Batra, Devi Parikh:
End-to-end Audio Visual Scene-aware Dialog Using Multimodal Attention-based Video Features. ICASSP 2019: 2352-2356 - [c16]Gordon Wichern, Joe Antognini, Michael Flynn, Licheng Richard Zhu, Emmett McQuinn, Dwight Crow, Ethan Manilow, Jonathan Le Roux:
WHAM!: Extending Speech Separation to Noisy Environments. INTERSPEECH 2019: 1368-1372 - [c15]Ethan Manilow, Gordon Wichern, Prem Seetharaman, Jonathan Le Roux:
Cutting Music Source Separation Some Slakh: A Dataset to Study the Impact of Training Data Quality and Quantity. WASPAA 2019: 45-49 - [i9]Gordon Wichern, Joe Antognini, Michael Flynn, Licheng Richard Zhu, Emmett McQuinn, Dwight Crow, Ethan Manilow, Jonathan Le Roux:
WHAM!: Extending Speech Separation to Noisy Environments. CoRR abs/1907.01160 (2019) - [i8]Ethan Manilow, Gordon Wichern, Prem Seetharaman, Jonathan Le Roux:
Cutting Music Source Separation Some Slakh: A Dataset to Study the Impact of Training Data Quality and Quantity. CoRR abs/1909.08494 (2019) - [i7]Matthew Maciejewski, Gordon Wichern, Emmett McQuinn, Jonathan Le Roux:
WHAMR!: Noisy and Reverberant Single-Channel Speech Separation. CoRR abs/1910.10279 (2019) - [i6]Prem Seetharaman, Gordon Wichern, Jonathan Le Roux, Bryan Pardo:
Bootstrapping deep music separation from primitive auditory grouping principles. CoRR abs/1910.11133 (2019) - [i5]Fatemeh Pishdadian, Gordon Wichern, Jonathan Le Roux:
Finding Strength in Weakness: Learning to Separate Sounds with Weak Supervision. CoRR abs/1911.02182 (2019) - 2018
- [c14]Chiori Hori, Takaaki Hori, Gordon Wichern, Jue Wang, Teng-Yok Lee, Anoop Cherian, Tim K. Marks:
Multimodal Attention for Fusion of Audio and Spatiotemporal Features for Video Description. CVPR Workshops 2018: 2528-2531 - [c13]Gordon Wichern, Jonathan Le Roux:
Phase Reconstruction with Learned Time-Frequency Representations for Single-Channel Speech Separation. IWAENC 2018: 396-400 - [i4]Chiori Hori, Huda AlAmri, Jue Wang, Gordon Wichern, Takaaki Hori, Anoop Cherian, Tim K. Marks, Vincent Cartillier, Raphael Gontijo Lopes, Abhishek Das, Irfan Essa, Dhruv Batra, Devi Parikh:
End-to-End Audio Visual Scene-Aware Dialog using Multimodal Attention-Based Video Features. CoRR abs/1806.08409 (2018) - [i3]Jonathan Le Roux, Gordon Wichern, Shinji Watanabe, Andy M. Sarroff, John R. Hershey:
Phasebook and Friends: Leveraging Discrete Representations for Source Separation. CoRR abs/1810.01395 (2018) - [i2]Prem Seetharaman, Gordon Wichern, Jonathan Le Roux, Bryan Pardo:
Bootstrapping single-channel source separation via unsupervised spatial clustering on stereo mixtures. CoRR abs/1811.02130 (2018) - [i1]Prem Seetharaman, Gordon Wichern, Shrikant Venkataramani, Jonathan Le Roux:
Class-conditional embeddings for music source separation. CoRR abs/1811.03076 (2018) - 2017
- [c12]Gordon Wichern, Alexey Lukin:
Low-Latency approximation of bidirectional recurrent networks for speech denoising. WASPAA 2017: 66-70 - 2013
- [j6]Makoto Yamada, Gordon Wichern, Kazunobu Kondo, Masashi Sugiyama, Hiroshi Sawada:
Noise adaptive optimization of matrix initialization for frequency-domain independent component analysis. Digit. Signal Process. 23(1): 1-8 (2013) - 2011
- [j5]Makoto Yamada, Masashi Sugiyama, Gordon Wichern, Jaak Simm:
Improving the Accuracy of Least-Squares Probabilistic Classifiers. IEICE Trans. Inf. Syst. 94-D(6): 1337-1340 (2011) - 2010
- [j4]Gordon Wichern, Brandon Mechtley, Alex Fink, Harvey D. Thornburg, Andreas Spanias:
An Ontological Framework for Retrieving Environmental Sounds Using Semantics and Acoustic Content. EURASIP J. Audio Speech Music. Process. 2010 (2010) - [j3]Makoto Yamada, Masashi Sugiyama, Gordon Wichern, Jaak Simm:
Direct Importance Estimation with a Mixture of Probabilistic Principal Component Analyzers. IEICE Trans. Inf. Syst. 93-D(10): 2846-2849 (2010) - [j2]Gordon Wichern, Jiachen Xue, Harvey D. Thornburg, Brandon Mechtley, Andreas Spanias:
Segmentation, Indexing, and Retrieval for Environmental and Natural Sounds. IEEE Trans. Speech Audio Process. 18(3): 688-707 (2010) - [c11]Gordon Wichern, Makoto Yamada, Harvey D. Thornburg, Masashi Sugiyama, Andreas Spanias:
Automatic audio tagging using covariate shift adaptation. ICASSP 2010: 253-256 - [c10]Makoto Yamada, Masashi Sugiyama, Gordon Wichern, Tomoko Matsui:
Acceleration of sequence kernel computation for real-time speaker identification. ICASSP 2010: 1626-1629 - [c9]Makoto Yamada, Masashi Sugiyama, Gordon Wichern:
Direct importance estimation with probabilistic principal component analyzers. ICASSP 2010: 1962-1965 - [c8]Brandon Mechtley, Gordon Wichern, Harvey D. Thornburg, Andreas Spanias:
Combining semantic, social, and acoustic similarity for retrieval of environmental sounds. ICASSP 2010: 2402-2405
2000 – 2009
- 2009
- [c7]Gordon Wichern, Harvey D. Thornburg, Andreas Spanias:
Multi-channel audio segmentation for continuous observation and archival of large spaces. ICASSP 2009: 237-240 - [c6]Gordon Wichern, Homin Kwon, Andreas Spanias, Alex Fink, Harvey D. Thornburg:
Continuous observation and archival of acoustic scenes using wireless sensor networks. DPS 2009: 1-6 - [c5]Gordon Wichern, Harvey D. Thornburg, Andreas Spanias:
Unifying semantic and content-based approaches for retrieval of environmental sounds. WASPAA 2009: 13-16 - 2008
- [c4]Jiachen Xue, Gordon Wichern, Harvey D. Thornburg, Andreas Spanias:
Fast query by example of environmental sounds via robust and efficient cluster-based indexing. ICASSP 2008: 5-8 - 2007
- [j1]Gordon Wichern, Mahmood R. Azimi-Sadjadi, Michael Mungiole:
Environmentally adaptive acoustic transmission loss prediction in turbulent and nonturbulent atmospheres. Neural Networks 20(4): 484-497 (2007) - [c3]Gordon Wichern, Harvey D. Thornburg, Brandon Mechtley, Alex Fink, Kai Tu, Andreas Spanias:
Robust Multi-Features Segmentation and Indexing for Natural Sound Environments. CBMI 2007: 69-76 - [c2]Michael McCarron, Mahmood R. Azimi-Sadjadi, Gordon Wichern, Michael Mungiole:
An Operationally Adaptive System for Rapid Acoustic Transmission Loss Prediction. IJCNN 2007: 2262-2267 - 2006
- [c1]Gordon Wichern, Mahmood R. Azimi-Sadjadi, Michael Mungiole:
An Environmentally Adaptive System for Rapid Acoustic Transmission Loss Prediction. IJCNN 2006: 5118-5125
Coauthor Index
aka: Zhong-Qiu Wang
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last updated on 2023-01-03 21:29 CET by the dblp team
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