Gordon Wichern

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 82

Top Topics

Source Separation

Diffusion Models

Speech Enhancement

Top Venues

IEEE ACM Trans. Audio Speech Lang. Process.

Publications

Yoshiki Masuyama, Gordon Wichern, François G. Germain, Zexu Pan, Sameer Khurana, Chiori Hori, Jonathan Le Roux
NIIRF: Neural IIR Filter Field for HRTF Upsampling and Personalization. CoRR (2024)
Shih-Lun Wu, Xuankai Chang, Gordon Wichern, Jee-Weon Jung, François G. Germain, Jonathan Le Roux, Shinji Watanabe
Improving Audio Captioning Models with Fine-Grained Audio Features, Text Embedding Supervision, and LLM Mix-Up Augmentation. ICASSP (2024)
Dimitrios Bralios, Gordon Wichern, François G. Germain, Zexu Pan, Sameer Khurana, Chiori Hori, Jonathan Le Roux
Generation or Replication: Auscultating Audio Latent Diffusion Models. ICASSP (2024)
Stefan Uhlich, Giorgio Fabbro, Masato Hirano, Shusuke Takahashi, Gordon Wichern, Jonathan Le Roux, Dipam Chakraborty, Sharada Mohanty, Kai Li, Yi Luo, Jianwei Yu, Rongzhi Gu, Roman A. Solovyev, Alexander L. Stempkovskiy, Tatiana Habruseva, Mikhail Sukhovei, Yuki Mitsufuji
The Sound Demixing Challenge 2023 - Cinematic Demixing Track. Trans. Int. Soc. Music. Inf. Retr. 7 (1) (2024)
Janek Ebbers, François G. Germain, Gordon Wichern, Jonathan Le Roux
Sound Event Bounding Boxes. CoRR (2024)
Christoph Böddeker, Aswin Shanmugam Subramanian, Gordon Wichern, Reinhold Haeb-Umbach, Jonathan Le Roux
TS-SEP: Joint Diarization and Separation Conditioned on Estimated Speaker Embeddings. IEEE ACM Trans. Audio Speech Lang. Process. 32 (2024)
Zexu Pan, Gordon Wichern, François G. Germain, Sameer Khurana, Jonathan Le Roux
NeuroHeed+: Improving Neuro-Steered Speaker Extraction with Joint Auditory Attention Detection. ICASSP (2024)
Junghyun Koo, Gordon Wichern, François G. Germain, Sameer Khurana, Jonathan Le Roux
SMITIN: Self-Monitored Inference-Time INtervention for Generative Music Transformers. CoRR (2024)
Yoshiki Masuyama, Gordon Wichern, François G. Germain, Zexu Pan, Sameer Khurana, Chiori Hori, Jonathan Le Roux
NIIRF: Neural IIR Filter Field for HRTF Upsampling and Personalization. ICASSP (2024)
Dimitrios Bralios, Efthymios Tzinis, Gordon Wichern, Paris Smaragdis, Jonathan Le Roux
Latent Iterative Refinement for Modular Source Separation. ICASSP (2023)
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 (2023)
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. IEEE ACM Trans. Audio Speech Lang. Process. 31 (2023)
Alessandro Salatiello, Ye Wang, Gordon Wichern, Toshiaki Koike-Akino, Yoshihiro Ohta, Yosuke Kaneko, Christopher R. Laughman, Ankush Chakrabarty
Synthesizing Building Operation Data with Generative Models: VAEs, GANs, or Something In Between? e-Energy (Companion) (2023)
Ricardo Falcón Pérez, Gordon Wichern, François G. Germain, Jonathan Le Roux
Location as Supervision for Weakly Supervised Multi-Channel Source Separation of Machine Sounds. WASPAA (2023)
Ke Chen, Gordon Wichern, François G. Germain, Jonathan Le Roux
Paᗧ-HuBERT: Self-Supervised Music Source Separation Via Primitive Auditory Clustering And Hidden-Unit Bert. ICASSP Workshops (2023)
François G. Germain, Gordon Wichern, Jonathan Le Roux
Hyperbolic Unsupervised Anomalous Sound Detection. WASPAA (2023)
Darius Petermann, Gordon Wichern, Aswin Shanmugam Subramanian, Jonathan Le Roux
Hyperbolic Audio Source Separation. ICASSP (2023)
Zexu Pan, Gordon Wichern, François G. Germain, Sameer Khurana, Jonathan Le Roux
NeuroHeed+: Improving Neuro-steered Speaker Extraction with Joint Auditory Attention Detection. CoRR (2023)
Dimitrios Bralios, Gordon Wichern, François G. Germain, Zexu Pan, Sameer Khurana, Chiori Hori, Jonathan Le Roux
Generation or Replication: Auscultating Audio Latent Diffusion Models. CoRR (2023)
Zexu Pan, Gordon Wichern, Yoshiki Masuyama, François G. Germain, Sameer Khurana, Chiori Hori, Jonathan Le Roux
Scenario-Aware Audio-Visual TF-GridNet for Target Speech Extraction. CoRR (2023)
Hao Yen, François G. Germain, Gordon Wichern, Jonathan Le Roux
Cold Diffusion for Speech Enhancement. ICASSP (2023)
Christoph Böddeker, Aswin Shanmugam Subramanian, Gordon Wichern, Reinhold Haeb-Umbach, Jonathan Le Roux
TS-SEP: Joint Diarization and Separation Conditioned on Estimated Speaker Embeddings. CoRR (2023)
Stefan Uhlich, Giorgio Fabbro, Masato Hirano, Shusuke Takahashi, Gordon Wichern, Jonathan Le Roux, Dipam Chakraborty, Sharada P. Mohanty, Kai Li, Yi Luo, Jianwei Yu, Rongzhi Gu, Roman A. Solovyev, Alexander L. Stempkovskiy, Tatiana Habruseva, Mikhail Sukhovei, Yuki Mitsufuji
The Sound Demixing Challenge 2023 - Cinematic Demixing Track. CoRR (2023)
Ke Chen, Gordon Wichern, François G. Germain, Jonathan Le Roux
Pac-HuBERT: Self-Supervised Music Source Separation via Primitive Auditory Clustering and Hidden-Unit BERT. CoRR (2023)
Efthymios Tzinis, Gordon Wichern, Paris Smaragdis, Jonathan Le Roux
Optimal Condition Training for Target Source Separation. ICASSP (2023)
Shih-Lun Wu, Xuankai Chang, Gordon Wichern, Jee-weon Jung, François G. Germain, Jonathan Le Roux, Shinji Watanabe
Improving Audio Captioning Models with Fine-grained Audio Features, Text Embedding Supervision, and LLM Mix-up Augmentation. CoRR (2023)
Zexu Pan, Gordon Wichern, Yoshiki Masuyama, François G. Germain, Sameer Khurana, Chiori Hori, Jonathan Le Roux
Scenario-Aware Audio-Visual TF-Gridnet for Target Speech Extraction. ASRU (2023)
Rohith Aralikatti, Christoph Böddeker, Gordon Wichern, Aswin Shanmugam Subramanian, Jonathan Le Roux
Reverberation as Supervision For Speech Separation. ICASSP (2023)
Dimitrios Bralios, Efthymios Tzinis, Gordon Wichern, Paris Smaragdis, Jonathan Le Roux
Latent Iterative Refinement for Modular Source Separation. CoRR (2022)
Efthymios Tzinis, Gordon Wichern, Aswin Shanmugam Subramanian, Paris Smaragdis, Jonathan Le Roux
Heterogeneous Target Speech Separation. INTERSPEECH (2022)
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)
Zhong-Qiu Wang, Gordon Wichern, Shinji Watanabe, Jonathan Le Roux
STFT-Domain Neural Speech Enhancement with Very Low Algorithmic Latency. CoRR (2022)
Ankush Chakrabarty, Gordon Wichern, Christopher R. Laughman
Meta-Learning of Neural State-Space Models Using Data From Similar Systems. CoRR (2022)
Hao Yen, François G. Germain, Gordon Wichern, Jonathan Le Roux
Cold Diffusion for Speech Enhancement. CoRR (2022)
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 (2022)
Olga Slizovskaia, Gordon Wichern, Zhong-Qiu Wang, Jonathan Le Roux
Locate This, Not that: Class-Conditioned Sound Event DOA Estimation. ICASSP (2022)
Efthymios Tzinis, Gordon Wichern, Paris Smaragdis, Jonathan Le Roux
Optimal Condition Training for Target Source Separation. CoRR (2022)
Efthymios Tzinis, Gordon Wichern, Aswin Shanmugam Subramanian, Paris Smaragdis, Jonathan Le Roux
Heterogeneous Target Speech Separation. CoRR (2022)
Darius Petermann, Gordon Wichern, Zhong-Qiu Wang, Jonathan Le Roux
The Cocktail Fork Problem: Three-Stem Audio Separation for Real-World Soundtracks. ICASSP (2022)
Olga Slizovskaia, Gordon Wichern, Zhong-Qiu Wang, Jonathan Le Roux
Locate This, Not That: Class-Conditioned Sound Event DOA Estimation. CoRR (2022)
Zexu Pan, Gordon Wichern, François G. Germain, Aswin Shanmugam Subramanian, Jonathan Le Roux
Towards End-to-end Speaker Diarization in the Wild. CoRR (2022)
Rohith Aralikatti, Christoph Böddeker, Gordon Wichern, Aswin Shanmugam Subramanian, Jonathan Le Roux
Reverberation as Supervision for Speech Separation. CoRR (2022)
Darius Petermann, Gordon Wichern, Aswin Shanmugam Subramanian, Jonathan Le Roux
Hyperbolic Audio Source Separation. CoRR (2022)
Ankush Chakrabarty, Gordon Wichern, Christopher R. Laughman
Attentive Neural Processes and Batch Bayesian Optimization for Scalable Calibration of Physics-Informed Digital Twins. CoRR (2021)
Yun-Ning Hung, Gordon Wichern, Jonathan Le Roux
Transcription Is All You Need: Learning To Separate Musical Mixtures With Score As Supervision. ICASSP (2021)
Zhong-Qiu Wang, Gordon Wichern, Jonathan Le Roux
On The Compensation Between Magnitude and Phase in Speech Separation. CoRR (2021)
Zhong-Qiu Wang, Gordon Wichern, Jonathan Le Roux
Convolutive Prediction for Monaural Speech Dereverberation and Noisy-Reverberant Speaker Separation. CoRR (2021)
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 (2021)
Zhong-Qiu Wang, Gordon Wichern, Jonathan Le Roux
Convolutive Prediction for Reverberant Speech Separation. WASPAA (2021)
Zhong-Qiu Wang, Gordon Wichern, Jonathan Le Roux
Convolutive Prediction for Reverberant Speech Separation. CoRR (2021)
Zhong-Qiu Wang, Gordon Wichern, Jonathan Le Roux
On the Compensation Between Magnitude and Phase in Speech Separation. IEEE Signal Process. Lett. 28 (2021)
Darius Petermann, Gordon Wichern, Zhong-Qiu Wang, Jonathan Le Roux
The Cocktail Fork Problem: Three-Stem Audio Separation for Real-World Soundtracks. CoRR (2021)
Zhong-Qiu Wang, Gordon Wichern, Jonathan Le Roux
Leveraging Low-Distortion Target Estimates for Improved Speech Enhancement. CoRR (2021)
Gordon Wichern, Ankush Chakrabarty, Zhong-Qiu Wang, Jonathan Le Roux
Anomalous Sound Detection Using Attentive Neural Processes. WASPAA (2021)
Prem Seetharaman, Gordon Wichern, Bryan Pardo, Jonathan Le Roux
AutoClip: Adaptive Gradient Clipping for Source Separation Networks. CoRR (2020)
Matthew Maciejewski, Gordon Wichern, Emmett McQuinn, Jonathan Le Roux
WHAMR!: Noisy and Reverberant Single-Channel Speech Separation. ICASSP (2020)
Yun-Ning Hung, Gordon Wichern, Jonathan Le Roux
Transcription Is All You Need: Learning to Separate Musical Mixtures with Score as Supervision. CoRR (2020)
Niko Moritz, Gordon Wichern, Takaaki Hori, Jonathan Le Roux
All-in-One Transformer: Unifying Speech Recognition, Audio Tagging, and Event Detection. INTERSPEECH (2020)
Prem Seetharaman, Gordon Wichern, Bryan Pardo, Jonathan Le Roux
Autoclip: Adaptive Gradient Clipping for Source Separation Networks. MLSP (2020)
Fatemeh Pishdadian, Gordon Wichern, Jonathan Le Roux
Learning to Separate Sounds from Weakly Labeled Scenes. ICASSP (2020)
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 (2020)
Ethan Manilow, Gordon Wichern, Jonathan Le Roux
Hierarchical Musical Instrument Separation. ISMIR (2020)
Prem Seetharaman, Gordon Wichern, Shrikant Venkataramani, Jonathan Le Roux
Class-conditional Embeddings for Music Source Separation. ICASSP (2019)
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) (2019)
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)
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 (2019)
Fatemeh Pishdadian, Gordon Wichern, Jonathan Le Roux
Finding Strength in Weakness: Learning to Separate Sounds with Weak Supervision. CoRR (2019)
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)
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)
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)
Prem Seetharaman, Gordon Wichern, Jonathan Le Roux, Bryan Pardo
Bootstrapping Single-channel Source Separation via Unsupervised Spatial Clustering on Stereo Mixtures. ICASSP (2019)
Matthew Maciejewski, Gordon Wichern, Emmett McQuinn, Jonathan Le Roux
WHAMR!: Noisy and Reverberant Single-Channel Speech Separation. CoRR (2019)
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 (2019)
Prem Seetharaman, Gordon Wichern, Jonathan Le Roux, Bryan Pardo
Bootstrapping deep music separation from primitive auditory grouping principles. CoRR (2019)
Ryo Aihara, Toshiyuki Hanazawa, Yohei Okato, Gordon Wichern, Jonathan Le Roux
Teacher-student Deep Clustering for Low-delay Single Channel Speech Separation. ICASSP (2019)
Jonathan Le Roux, Gordon Wichern, Shinji Watanabe, Andy M. Sarroff, John R. Hershey
Phasebook and Friends: Leveraging Discrete Representations for Source Separation. CoRR (2018)
Gordon Wichern, Jonathan Le Roux
Phase Reconstruction with Learned Time-Frequency Representations for Single-Channel Speech Separation. IWAENC (2018)
Prem Seetharaman, Gordon Wichern, Jonathan Le Roux, Bryan Pardo
Bootstrapping single-channel source separation via unsupervised spatial clustering on stereo mixtures. CoRR (2018)
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 (2018)
Prem Seetharaman, Gordon Wichern, Shrikant Venkataramani, Jonathan Le Roux
Class-conditional embeddings for music source separation. CoRR (2018)
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)
Gordon Wichern, Alexey Lukin
Low-Latency approximation of bidirectional recurrent networks for speech denoising. WASPAA (2017)
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) (2013)
Makoto Yamada, Masashi Sugiyama, Gordon Wichern, Jaak Simm
Improving the Accuracy of Least-Squares Probabilistic Classifiers. IEICE Trans. Inf. Syst. (6) (2011)
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) (2010)
Makoto Yamada, Masashi Sugiyama, Gordon Wichern
Direct importance estimation with probabilistic principal component analyzers. ICASSP (2010)
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)
Makoto Yamada, Masashi Sugiyama, Gordon Wichern, Jaak Simm
Direct Importance Estimation with a Mixture of Probabilistic Principal Component Analyzers. IEICE Trans. Inf. Syst. (10) (2010)
Makoto Yamada, Masashi Sugiyama, Gordon Wichern, Tomoko Matsui
Acceleration of sequence kernel computation for real-time speaker identification. ICASSP (2010)
Brandon Mechtley, Gordon Wichern, Harvey D. Thornburg, Andreas Spanias
Combining semantic, social, and acoustic similarity for retrieval of environmental sounds. ICASSP (2010)
Gordon Wichern, Makoto Yamada, Harvey D. Thornburg, Masashi Sugiyama, Andreas Spanias
Automatic audio tagging using covariate shift adaptation. ICASSP (2010)
Gordon Wichern, Harvey D. Thornburg, Andreas Spanias
Unifying semantic and content-based approaches for retrieval of environmental sounds. WASPAA (2009)
Gordon Wichern, Harvey D. Thornburg, Andreas Spanias
Multi-channel audio segmentation for continuous observation and archival of large spaces. ICASSP (2009)
Gordon Wichern, Homin Kwon, Andreas Spanias, Alex Fink, Harvey D. Thornburg
Continuous observation and archival of acoustic scenes using wireless sensor networks. DPS (2009)
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)
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)
Michael McCarron, Mahmood R. Azimi-Sadjadi, Gordon Wichern, Michael Mungiole
An Operationally Adaptive System for Rapid Acoustic Transmission Loss Prediction. IJCNN (2007)
Gordon Wichern, Mahmood R. Azimi-Sadjadi, Michael Mungiole
Environmentally adaptive acoustic transmission loss prediction in turbulent and nonturbulent atmospheres. Neural Networks 20 (4) (2007)
Gordon Wichern, Mahmood R. Azimi-Sadjadi, Michael Mungiole
An Environmentally Adaptive System for Rapid Acoustic Transmission Loss Prediction. IJCNN (2006)