Gordon Wichern

139 papers A* 1A 11B 2C 2Misc 31Journal 71Unranked 21
YearRankTypeTitle / Venue / Authors
2026 J jnl
Mind the Gap: Detecting Cluster Exits for Robust Local Density-Based Score Normalization in Anomalous Sound Detection.
CoRR
Kevin Wilkinghoff, Gordon Wichern, Jonathan Le Roux, Zheng-Hua Tan
2026 J jnl
Velocity Potential Neural Field for Efficient Ambisonics Impulse Response Modeling.
CoRR
Yoshiki Masuyama, François G. Germain, Gordon Wichern, Chiori Hori, Jonathan Le Roux
2025 Misc conf
30+ Years of Source Separation Research: Achievements and Future Challenges.
ICASSP
Shoko Araki, Nobutaka Ito, Reinhold Haeb-Umbach, Gordon Wichern, Zhong-Qiu Wang, Yuki Mitsufuji
2025 J jnl
30+ Years of Source Separation Research: Achievements and Future Challenges.
CoRR
Shoko Araki, Nobutaka Ito, Reinhold Haeb-Umbach, Gordon Wichern, Zhong-Qiu Wang, Yuki Mitsufuji
2025 J jnl
Data Augmentation Using Neural Acoustic Fields With Retrieval-Augmented Pre-training.
CoRR
Christopher Ick, Gordon Wichern, Yoshiki Masuyama, François G. Germain, Jonathan Le Roux
2025 A conf
Direction-Aware Neural Acoustic Fields for Few-Shot Interpolation of Ambisonic Impulse Responses.
INTERSPEECH
Christopher Ick, Gordon Wichern, Yoshiki Masuyama, François G. Germain, Jonathan Le Roux
2025 J jnl
Direction-Aware Neural Acoustic Fields for Few-Shot Interpolation of Ambisonic Impulse Responses.
CoRR
Christopher Ick, Gordon Wichern, Yoshiki Masuyama, François G. Germain, Jonathan Le Roux
2025 A conf
Factorized RVQ-GAN For Disentangled Speech Tokenization.
INTERSPEECH
Sameer Khurana, Dominik Klement, Antoine Laurent, Dominik Bobos, Juraj Novosad, Peter Gazdik, Ellen Zhang, Zili Huang, Amir Hussein, Ricard Marxer, Yoshiki Masuyama, Ryo Aihara, Chiori Hori, François G. Germain, Gordon Wichern, Jonathan Le Roux
2025 J jnl
Factorized RVQ-GAN For Disentangled Speech Tokenization.
CoRR
Sameer Khurana, Dominik Klement, Antoine Laurent, Dominik Bobos, Juraj Novosad, Peter Gazdik, Ellen Zhang, Zili Huang, Amir Hussein, Ricard Marxer, Yoshiki Masuyama, Ryo Aihara, Chiori Hori, François G. Germain, Gordon Wichern, Jonathan Le Roux
2025 — conf
FasTUSS: Faster Task-Aware Unified Source Separation.
WASPAA
Francesco Paissan, Gordon Wichern, Yoshiki Masuyama, Ryo Aihara, François G. Germain, Kohei Saijo, Jonathan Le Roux
2025 J jnl
FasTUSS: Faster Task-Aware Unified Source Separation.
CoRR
Francesco Paissan, Gordon Wichern, Yoshiki Masuyama, Ryo Aihara, François G. Germain, Kohei Saijo, Jonathan Le Roux
2025 J jnl
FlexIO: Flexible Single- and Multi-Channel Speech Separation and Enhancement.
CoRR
Yoshiki Masuyama, Kohei Saijo, Francesco Paissan, Jiangyu Han, Marc Delcroix, Ryo Aihara, François G. Germain, Gordon Wichern, Jonathan Le Roux
2025 A conf
HASRD: Hierarchical Acoustic and Semantic Representation Disentanglement.
INTERSPEECH
Amir Hussein, Sameer Khurana, Gordon Wichern, François G. Germain, Jonathan Le Roux
2025 J jnl
HASRD: Hierarchical Acoustic and Semantic Representation Disentanglement.
CoRR
Amir Hussein, Sameer Khurana, Gordon Wichern, François G. Germain, Jonathan Le Roux
2025 A conf
Investigating continuous autoregressive generative speech enhancement.
INTERSPEECH
Haici Yang, Gordon Wichern, Ryo Aihara, Yoshiki Masuyama, Sameer Khurana, François G. Germain, Jonathan Le Roux
2025 Misc conf
Keeping the Balance: Anomaly Score Calculation for Domain Generalization.
ICASSP
Kevin Wilkinghoff, Haici Yang, Janek Ebbers, François G. Germain, Gordon Wichern, Jonathan Le Roux
2025 Misc conf
Leveraging Audio-Only Data for Text-Queried Target Sound Extraction.
ICASSP
Kohei Saijo, Janek Ebbers, François G. Germain, Sameer Khurana, Gordon Wichern, Jonathan Le Roux
2025 J jnl
Local Density-Based Anomaly Score Normalization for Domain Generalization.
CoRR
Kevin Wilkinghoff, Haici Yang, Janek Ebbers, François G. Germain, Gordon Wichern, Jonathan Le Roux
2025 J jnl
Meta-Learning for Physically-Constrained Neural System Identification.
CoRR
Ankush Chakrabarty, Gordon Wichern, Vedang M. Deshpande, Abraham P. Vinod, Karl Berntorp, Christopher R. Laughman
2025 J jnl
Meta-learning for physically-constrained neural system identification.
Neurocomputing
Ankush Chakrabarty, Gordon Wichern, Vedang M. Deshpande, Abraham P. Vinod, Karl Berntorp, Christopher R. Laughman
2025 Misc conf
No Class Left Behind: A Closer Look at Class Balancing for Audio Tagging.
ICASSP
Janek Ebbers, François G. Germain, Kevin Wilkinghoff, Gordon Wichern, Jonathan Le Roux
2025 — conf
Physics-Informed Direction-Aware Neural Acoustic Fields.
WASPAA
Yoshiki Masuyama, François G. Germain, Gordon Wichern, Christopher Ick, Jonathan Le Roux
2025 J jnl
Physics-Informed Direction-Aware Neural Acoustic Fields.
CoRR
Yoshiki Masuyama, François G. Germain, Gordon Wichern, Christopher Ick, Jonathan Le Roux
2025 J jnl
Probabilistic Forecasting for Building Energy Systems using Time-Series Foundation Models.
CoRR
Young Jin Park, François G. Germain, Jing Liu, Ye Wang, Toshiaki Koike-Akino, Gordon Wichern, Navid Azizan, Christopher R. Laughman, Ankush Chakrabarty
2025 Misc conf
Retrieval-Augmented Neural Field for HRTF Upsampling and Personalization.
ICASSP
Yoshiki Masuyama, Gordon Wichern, François G. Germain, Christopher Ick, Jonathan Le Roux
2025 J jnl
Retrieval-Augmented Neural Field for HRTF Upsampling and Personalization.
CoRR
Yoshiki Masuyama, Gordon Wichern, François G. Germain, Christopher Ick, Jonathan Le Roux
2025 Misc conf
Task-Aware Unified Source Separation.
ICASSP
Kohei Saijo, Janek Ebbers, François G. Germain, Gordon Wichern, Jonathan Le Roux
2024 A* conf
Deep Neural Room Acoustics Primitive.
ICML
Yuhang He, Anoop Cherian, Gordon Wichern, Andrew Markham
2024 A conf
Enhanced Reverberation as Supervision for Unsupervised Speech Separation.
INTERSPEECH
Kohei Saijo, Gordon Wichern, François G. Germain, Zexu Pan, Jonathan Le Roux
2024 J jnl
Enhanced Reverberation as Supervision for Unsupervised Speech Separation.
CoRR
Kohei Saijo, Gordon Wichern, François G. Germain, Zexu Pan, Jonathan Le Roux
2024 Misc conf
Generation or Replication: Auscultating Audio Latent Diffusion Models.
ICASSP
Dimitrios Bralios, Gordon Wichern, François G. Germain, Zexu Pan, Sameer Khurana, Chiori Hori, Jonathan Le Roux
2024 Misc conf
Improving Audio Captioning Models with Fine-Grained Audio Features, Text Embedding Supervision, and LLM Mix-Up Augmentation.
ICASSP
Shih-Lun Wu, Xuankai Chang, Gordon Wichern, Jee-weon Jung, François G. Germain, Jonathan Le Roux, Shinji Watanabe
2024 — conf
Late Audio-Visual Fusion for in-the-Wild Speaker Diarization.
ICASSP Workshops
Zexu Pan, Gordon Wichern, François G. Germain, Aswin Shanmugam Subramanian, Jonathan Le Roux
2024 J jnl
Leveraging Audio-Only Data for Text-Queried Target Sound Extraction.
CoRR
Kohei Saijo, Janek Ebbers, François G. Germain, Sameer Khurana, Gordon Wichern, Jonathan Le Roux
2024 Misc conf
NIIRF: Neural IIR Filter Field for HRTF Upsampling and Personalization.
ICASSP
Yoshiki Masuyama, Gordon Wichern, François G. Germain, Zexu Pan, Sameer Khurana, Chiori Hori, Jonathan Le Roux
2024 J jnl
NIIRF: Neural IIR Filter Field for HRTF Upsampling and Personalization.
CoRR
Yoshiki Masuyama, Gordon Wichern, François G. Germain, Zexu Pan, Sameer Khurana, Chiori Hori, Jonathan Le Roux
2024 Misc conf
NeuroHeed+: Improving Neuro-Steered Speaker Extraction with Joint Auditory Attention Detection.
ICASSP
Zexu Pan, Gordon Wichern, François G. Germain, Sameer Khurana, Jonathan Le Roux
2024 A conf
PARIS: Pseudo-AutoRegressIve Siamese Training for Online Speech Separation.
INTERSPEECH
Zexu Pan, Gordon Wichern, François G. Germain, Kohei Saijo, Jonathan Le Roux
2024 — conf
Physics-Constrained Meta-Learning for Online Adaptation and Estimation in Positioning Applications.
CDC
Ankush Chakrabarty, Vedang M. Deshpande, Gordon Wichern, Karl Berntorp
2024 J jnl
SMITIN: Self-Monitored Inference-Time INtervention for Generative Music Transformers.
CoRR
Junghyun Koo, Gordon Wichern, François G. Germain, Sameer Khurana, Jonathan Le Roux
2024 A conf
Sound Event Bounding Boxes.
INTERSPEECH
Janek Ebbers, François G. Germain, Gordon Wichern, Jonathan Le Roux
2024 J jnl
Sound Event Bounding Boxes.
CoRR
Janek Ebbers, François G. Germain, Gordon Wichern, Jonathan Le Roux
2024 — conf
TF-Locoformer: Transformer with Local Modeling by Convolution for Speech Separation and Enhancement.
IWAENC
Kohei Saijo, Gordon Wichern, François G. Germain, Zexu Pan, Jonathan Le Roux
2024 J jnl
TF-Locoformer: Transformer with Local Modeling by Convolution for Speech Separation and Enhancement.
CoRR
Kohei Saijo, Gordon Wichern, François G. Germain, Zexu Pan, Jonathan Le Roux
2024 J jnl
TS-SEP: Joint Diarization and Separation Conditioned on Estimated Speaker Embeddings.
IEEE ACM Trans. Audio Speech Lang. Process.
Christoph Böddeker, Aswin Shanmugam Subramanian, Gordon Wichern, Reinhold Haeb-Umbach, Jonathan Le Roux
2024 J jnl
Task-Aware Unified Source Separation.
CoRR
Kohei Saijo, Janek Ebbers, François G. Germain, Gordon Wichern, Jonathan Le Roux
2024 J jnl
The Sound Demixing Challenge 2023 - Cinematic Demixing Track.
Trans. Int. Soc. Music. Inf. Retr.
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
2024 — conf
Why Does Music Source Separation Benefit from Cacophony?
ICASSP Workshops
Chang-Bin Jeon, Gordon Wichern, François G. Germain, Jonathan Le Roux
2024 A conf
ZeroST: Zero-Shot Speech Translation.
INTERSPEECH
Sameer Khurana, Chiori Hori, Antoine Laurent, Gordon Wichern, Jonathan Le Roux
2023 Misc conf
Cold Diffusion for Speech Enhancement.
ICASSP
Hao Yen, François G. Germain, Gordon Wichern, Jonathan Le Roux
2023 J jnl
Generation or Replication: Auscultating Audio Latent Diffusion Models.
CoRR
Dimitrios Bralios, Gordon Wichern, François G. Germain, Zexu Pan, Sameer Khurana, Chiori Hori, Jonathan Le Roux
2023 Misc conf
Hyperbolic Audio Source Separation.
ICASSP
Darius Petermann, Gordon Wichern, Aswin Shanmugam Subramanian, Jonathan Le Roux
2023 — conf
Hyperbolic Unsupervised Anomalous Sound Detection.
WASPAA
François G. Germain, Gordon Wichern, Jonathan Le Roux
2023 J jnl
Improving Audio Captioning Models with Fine-grained Audio Features, Text Embedding Supervision, and LLM Mix-up Augmentation.
CoRR
Shih-Lun Wu, Xuankai Chang, Gordon Wichern, Jee-weon Jung, François G. Germain, Jonathan Le Roux, Shinji Watanabe
2023 Misc conf
Latent Iterative Refinement for Modular Source Separation.
ICASSP
Dimitrios Bralios, Efthymios Tzinis, Gordon Wichern, Paris Smaragdis, Jonathan Le Roux
2023 — conf
Location as Supervision for Weakly Supervised Multi-Channel Source Separation of Machine Sounds.
WASPAA
Ricardo Falcón Pérez, Gordon Wichern, François G. Germain, Jonathan Le Roux
2023 J jnl
NeuroHeed+: Improving Neuro-steered Speaker Extraction with Joint Auditory Attention Detection.
CoRR
Zexu Pan, Gordon Wichern, François G. Germain, Sameer Khurana, Jonathan Le Roux
2023 Misc conf
Optimal Condition Training for Target Source Separation.
ICASSP
Efthymios Tzinis, Gordon Wichern, Paris Smaragdis, Jonathan Le Roux
2023 J jnl
Pac-HuBERT: Self-Supervised Music Source Separation via Primitive Auditory Clustering and Hidden-Unit BERT.
CoRR
Ke Chen, Gordon Wichern, François G. Germain, Jonathan Le Roux
2023 — conf
Paᗧ-HuBERT: Self-Supervised Music Source Separation Via Primitive Auditory Clustering And Hidden-Unit Bert.
ICASSP Workshops
Ke Chen, Gordon Wichern, François G. Germain, Jonathan Le Roux
2023 Misc conf
Reverberation as Supervision For Speech Separation.
ICASSP
Rohith Aralikatti, Christoph Böddeker, Gordon Wichern, Aswin Shanmugam Subramanian, Jonathan Le Roux
2023 J jnl
STFT-Domain Neural Speech Enhancement With Very Low Algorithmic Latency.
IEEE ACM Trans. Audio Speech Lang. Process.
Zhong-Qiu Wang, Gordon Wichern, Shinji Watanabe, Jonathan Le Roux
2023 J jnl
Scenario-Aware Audio-Visual TF-GridNet for Target Speech Extraction.
CoRR
Zexu Pan, Gordon Wichern, Yoshiki Masuyama, François G. Germain, Sameer Khurana, Chiori Hori, Jonathan Le Roux
2023 C conf
Scenario-Aware Audio-Visual TF-Gridnet for Target Speech Extraction.
ASRU
Zexu Pan, Gordon Wichern, Yoshiki Masuyama, François G. Germain, Sameer Khurana, Chiori Hori, Jonathan Le Roux
2023 — conf
Synthesizing Building Operation Data with Generative Models: VAEs, GANs, or Something In Between?
e-Energy (Companion)
Alessandro Salatiello, Ye Wang, Gordon Wichern, Toshiaki Koike-Akino, Yoshihiro Ohta, Yosuke Kaneko, Christopher R. Laughman, Ankush Chakrabarty
2023 J jnl
TS-SEP: Joint Diarization and Separation Conditioned on Estimated Speaker Embeddings.
CoRR
Christoph Böddeker, Aswin Shanmugam Subramanian, Gordon Wichern, Reinhold Haeb-Umbach, Jonathan Le Roux
2023 J jnl
Tackling the Cocktail Fork Problem for Separation and Transcription of Real-World Soundtracks.
IEEE ACM Trans. Audio Speech Lang. Process.
Darius Petermann, Gordon Wichern, Aswin Shanmugam Subramanian, Zhong-Qiu Wang, Jonathan Le Roux
2023 J jnl
The Sound Demixing Challenge 2023 - Cinematic Demixing Track.
CoRR
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
2022 J jnl
Cold Diffusion for Speech Enhancement.
CoRR
Hao Yen, François G. Germain, Gordon Wichern, Jonathan Le Roux
2022 A conf
Heterogeneous Target Speech Separation.
INTERSPEECH
Efthymios Tzinis, Gordon Wichern, Aswin Shanmugam Subramanian, Paris Smaragdis, Jonathan Le Roux
2022 J jnl
Heterogeneous Target Speech Separation.
CoRR
Efthymios Tzinis, Gordon Wichern, Aswin Shanmugam Subramanian, Paris Smaragdis, Jonathan Le Roux
2022 J jnl
Hyperbolic Audio Source Separation.
CoRR
Darius Petermann, Gordon Wichern, Aswin Shanmugam Subramanian, Jonathan Le Roux
2022 — conf
Improved Domain Generalization via Disentangled Multi-Task Learning in Unsupervised Anomalous Sound Detection.
DCASE
Satvik Venkatesh, Gordon Wichern, Aswin Shanmugam Subramanian, Jonathan Le Roux
2022 J jnl
Latent Iterative Refinement for Modular Source Separation.
CoRR
Dimitrios Bralios, Efthymios Tzinis, Gordon Wichern, Paris Smaragdis, Jonathan Le Roux
2022 J jnl
Locate This, Not That: Class-Conditioned Sound Event DOA Estimation.
CoRR
Olga Slizovskaia, Gordon Wichern, Zhong-Qiu Wang, Jonathan Le Roux
2022 Misc conf
Locate This, Not that: Class-Conditioned Sound Event DOA Estimation.
ICASSP
Olga Slizovskaia, Gordon Wichern, Zhong-Qiu Wang, Jonathan Le Roux
2022 J jnl
Meta-Learning of Neural State-Space Models Using Data From Similar Systems.
CoRR
Ankush Chakrabarty, Gordon Wichern, Christopher R. Laughman
2022 J jnl
Optimal Condition Training for Target Source Separation.
CoRR
Efthymios Tzinis, Gordon Wichern, Paris Smaragdis, Jonathan Le Roux
2022 J jnl
Reverberation as Supervision for Speech Separation.
CoRR
Rohith Aralikatti, Christoph Böddeker, Gordon Wichern, Aswin Shanmugam Subramanian, Jonathan Le Roux
2022 J jnl
STFT-Domain Neural Speech Enhancement with Very Low Algorithmic Latency.
CoRR
Zhong-Qiu Wang, Gordon Wichern, Shinji Watanabe, Jonathan Le Roux
2022 J jnl
Tackling the Cocktail Fork Problem for Separation and Transcription of Real-World Soundtracks.
CoRR
Darius Petermann, Gordon Wichern, Aswin Shanmugam Subramanian, Zhong-Qiu Wang, Jonathan Le Roux
2022 Misc conf
The Cocktail Fork Problem: Three-Stem Audio Separation for Real-World Soundtracks.
ICASSP
Darius Petermann, Gordon Wichern, Zhong-Qiu Wang, Jonathan Le Roux
2022 J jnl
Towards End-to-end Speaker Diarization in the Wild.
CoRR
Zexu Pan, Gordon Wichern, François G. Germain, Aswin Shanmugam Subramanian, Jonathan Le Roux
2021 — conf
Anomalous Sound Detection Using Attentive Neural Processes.
WASPAA
Gordon Wichern, Ankush Chakrabarty, Zhong-Qiu Wang, Jonathan Le Roux
2021 J jnl
Attentive Neural Processes and Batch Bayesian Optimization for Scalable Calibration of Physics-Informed Digital Twins.
CoRR
Ankush Chakrabarty, Gordon Wichern, Christopher R. Laughman
2021 J jnl
Convolutive Prediction for Monaural Speech Dereverberation and Noisy-Reverberant Speaker Separation.
CoRR
Zhong-Qiu Wang, Gordon Wichern, Jonathan Le Roux
2021 J jnl
Convolutive Prediction for Monaural Speech Dereverberation and Noisy-Reverberant Speaker Separation.
IEEE ACM Trans. Audio Speech Lang. Process.
Zhong-Qiu Wang, Gordon Wichern, Jonathan Le Roux
2021 — conf
Convolutive Prediction for Reverberant Speech Separation.
WASPAA
Zhong-Qiu Wang, Gordon Wichern, Jonathan Le Roux
2021 J jnl
Convolutive Prediction for Reverberant Speech Separation.
CoRR
Zhong-Qiu Wang, Gordon Wichern, Jonathan Le Roux
2021 J jnl
Leveraging Low-Distortion Target Estimates for Improved Speech Enhancement.
CoRR
Zhong-Qiu Wang, Gordon Wichern, Jonathan Le Roux
2021 J jnl
On The Compensation Between Magnitude and Phase in Speech Separation.
CoRR
Zhong-Qiu Wang, Gordon Wichern, Jonathan Le Roux
2021 J jnl
On the Compensation Between Magnitude and Phase in Speech Separation.
IEEE Signal Process. Lett.
Zhong-Qiu Wang, Gordon Wichern, Jonathan Le Roux
2021 J jnl
The Cocktail Fork Problem: Three-Stem Audio Separation for Real-World Soundtracks.
CoRR
Darius Petermann, Gordon Wichern, Zhong-Qiu Wang, Jonathan Le Roux
2021 Misc conf
Transcription Is All You Need: Learning To Separate Musical Mixtures With Score As Supervision.
ICASSP
Yun-Ning Hung, Gordon Wichern, Jonathan Le Roux
2020 A conf
All-in-One Transformer: Unifying Speech Recognition, Audio Tagging, and Event Detection.
INTERSPEECH
Niko Moritz, Gordon Wichern, Takaaki Hori, Jonathan Le Roux
2020 J jnl
AutoClip: Adaptive Gradient Clipping for Source Separation Networks.
CoRR
Prem Seetharaman, Gordon Wichern, Bryan Pardo, Jonathan Le Roux
2020 — conf
Autoclip: Adaptive Gradient Clipping for Source Separation Networks.
MLSP
Prem Seetharaman, Gordon Wichern, Bryan Pardo, Jonathan Le Roux
2020 J jnl
Finding Strength in Weakness: Learning to Separate Sounds With Weak Supervision.
IEEE ACM Trans. Audio Speech Lang. Process.
Fatemeh Pishdadian, Gordon Wichern, Jonathan Le Roux
2020 — conf
Hierarchical Musical Instrument Separation.
ISMIR
Ethan Manilow, Gordon Wichern, Jonathan Le Roux
2020 Misc conf
Learning to Separate Sounds from Weakly Labeled Scenes.
ICASSP
Fatemeh Pishdadian, Gordon Wichern, Jonathan Le Roux
2020 J jnl
Transcription Is All You Need: Learning to Separate Musical Mixtures with Score as Supervision.
CoRR
Yun-Ning Hung, Gordon Wichern, Jonathan Le Roux
2020 Misc conf
WHAMR!: Noisy and Reverberant Single-Channel Speech Separation.
ICASSP
Matthew Maciejewski, Gordon Wichern, Emmett McQuinn, Jonathan Le Roux
2019 Misc conf
Bootstrapping Single-channel Source Separation via Unsupervised Spatial Clustering on Stereo Mixtures.
ICASSP
Prem Seetharaman, Gordon Wichern, Jonathan Le Roux, Bryan Pardo
2019 J jnl
Bootstrapping deep music separation from primitive auditory grouping principles.
CoRR
Prem Seetharaman, Gordon Wichern, Jonathan Le Roux, Bryan Pardo
2019 Misc conf
Class-conditional Embeddings for Music Source Separation.
ICASSP
Prem Seetharaman, Gordon Wichern, Shrikant Venkataramani, Jonathan Le Roux
2019 — conf
Cutting Music Source Separation Some Slakh: A Dataset to Study the Impact of Training Data Quality and Quantity.
WASPAA
Ethan Manilow, Gordon Wichern, Prem Seetharaman, Jonathan Le Roux
2019 J jnl
Cutting Music Source Separation Some Slakh: A Dataset to Study the Impact of Training Data Quality and Quantity.
CoRR
Ethan Manilow, Gordon Wichern, Prem Seetharaman, Jonathan Le Roux
2019 Misc conf
End-to-end Audio Visual Scene-aware Dialog Using Multimodal Attention-based Video Features.
ICASSP
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
2019 J jnl
Finding Strength in Weakness: Learning to Separate Sounds with Weak Supervision.
CoRR
Fatemeh Pishdadian, Gordon Wichern, Jonathan Le Roux
2019 J jnl
Phasebook and Friends: Leveraging Discrete Representations for Source Separation.
IEEE J. Sel. Top. Signal Process.
Jonathan Le Roux, Gordon Wichern, Shinji Watanabe, Andy M. Sarroff, John R. Hershey
2019 Misc conf
Teacher-student Deep Clustering for Low-delay Single Channel Speech Separation.
ICASSP
Ryo Aihara, Toshiyuki Hanazawa, Yohei Okato, Gordon Wichern, Jonathan Le Roux
2019 Misc conf
The Phasebook: Building Complex Masks via Discrete Representations for Source Separation.
ICASSP
Jonathan Le Roux, Gordon Wichern, Shinji Watanabe, Andy M. Sarroff, John R. Hershey
2019 A conf
WHAM!: Extending Speech Separation to Noisy Environments.
INTERSPEECH
Gordon Wichern, Joe Antognini, Michael Flynn, Licheng Richard Zhu, Emmett McQuinn, Dwight Crow, Ethan Manilow, Jonathan Le Roux
2019 J jnl
WHAM!: Extending Speech Separation to Noisy Environments.
CoRR
Gordon Wichern, Joe Antognini, Michael Flynn, Licheng Richard Zhu, Emmett McQuinn, Dwight Crow, Ethan Manilow, Jonathan Le Roux
2019 J jnl
WHAMR!: Noisy and Reverberant Single-Channel Speech Separation.
CoRR
Matthew Maciejewski, Gordon Wichern, Emmett McQuinn, Jonathan Le Roux
2018 J jnl
Bootstrapping single-channel source separation via unsupervised spatial clustering on stereo mixtures.
CoRR
Prem Seetharaman, Gordon Wichern, Jonathan Le Roux, Bryan Pardo
2018 J jnl
Class-conditional embeddings for music source separation.
CoRR
Prem Seetharaman, Gordon Wichern, Shrikant Venkataramani, Jonathan Le Roux
2018 J jnl
End-to-End Audio Visual Scene-Aware Dialog using Multimodal Attention-Based Video Features.
CoRR
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
2018 — conf
Multimodal Attention for Fusion of Audio and Spatiotemporal Features for Video Description.
CVPR Workshops
Chiori Hori, Takaaki Hori, Gordon Wichern, Jue Wang, Teng-Yok Lee, Anoop Cherian, Tim K. Marks
2018 — conf
Phase Reconstruction with Learned Time-Frequency Representations for Single-Channel Speech Separation.
IWAENC
Gordon Wichern, Jonathan Le Roux
2018 J jnl
Phasebook and Friends: Leveraging Discrete Representations for Source Separation.
CoRR
Jonathan Le Roux, Gordon Wichern, Shinji Watanabe, Andy M. Sarroff, John R. Hershey
2017 — conf
Low-Latency approximation of bidirectional recurrent networks for speech denoising.
WASPAA
Gordon Wichern, Alexey Lukin
2013 J jnl
Noise adaptive optimization of matrix initialization for frequency-domain independent component analysis.
Digit. Signal Process.
Makoto Yamada, Gordon Wichern, Kazunobu Kondo, Masashi Sugiyama, Hiroshi Sawada
2011 J jnl
Improving the Accuracy of Least-Squares Probabilistic Classifiers.
IEICE Trans. Inf. Syst.
Makoto Yamada, Masashi Sugiyama, Gordon Wichern, Jaak Simm
2010 Misc conf
Acceleration of sequence kernel computation for real-time speaker identification.
ICASSP
Makoto Yamada, Masashi Sugiyama, Gordon Wichern, Tomoko Matsui
2010 J jnl
An Ontological Framework for Retrieving Environmental Sounds Using Semantics and Acoustic Content.
EURASIP J. Audio Speech Music. Process.
Gordon Wichern, Brandon Mechtley, Alex Fink, Harvey D. Thornburg, Andreas Spanias
2010 Misc conf
Automatic audio tagging using covariate shift adaptation.
ICASSP
Gordon Wichern, Makoto Yamada, Harvey D. Thornburg, Masashi Sugiyama, Andreas Spanias
2010 Misc conf
Combining semantic, social, and acoustic similarity for retrieval of environmental sounds.
ICASSP
Brandon Mechtley, Gordon Wichern, Harvey D. Thornburg, Andreas Spanias
2010 J jnl
Direct Importance Estimation with a Mixture of Probabilistic Principal Component Analyzers.
IEICE Trans. Inf. Syst.
Makoto Yamada, Masashi Sugiyama, Gordon Wichern, Jaak Simm
2010 Misc conf
Direct importance estimation with probabilistic principal component analyzers.
ICASSP
Makoto Yamada, Masashi Sugiyama, Gordon Wichern
2010 J jnl
Segmentation, Indexing, and Retrieval for Environmental and Natural Sounds.
IEEE Trans. Speech Audio Process.
Gordon Wichern, Jiachen Xue, Harvey D. Thornburg, Brandon Mechtley, Andreas Spanias
2009 — conf
Continuous observation and archival of acoustic scenes using wireless sensor networks.
DPS
Gordon Wichern, Homin Kwon, Andreas Spanias, Alex Fink, Harvey D. Thornburg
2009 Misc conf
Multi-channel audio segmentation for continuous observation and archival of large spaces.
ICASSP
Gordon Wichern, Harvey D. Thornburg, Andreas Spanias
2009 — conf
Unifying semantic and content-based approaches for retrieval of environmental sounds.
WASPAA
Gordon Wichern, Harvey D. Thornburg, Andreas Spanias
2008 Misc conf
Fast query by example of environmental sounds via robust and efficient cluster-based indexing.
ICASSP
Jiachen Xue, Gordon Wichern, Harvey D. Thornburg, Andreas Spanias
2007 B conf
An Operationally Adaptive System for Rapid Acoustic Transmission Loss Prediction.
IJCNN
Michael McCarron, Mahmood R. Azimi-Sadjadi, Gordon Wichern, Michael Mungiole
2007 J jnl
Environmentally adaptive acoustic transmission loss prediction in turbulent and nonturbulent atmospheres.
Neural Networks
Gordon Wichern, Mahmood R. Azimi-Sadjadi, Michael Mungiole
2007 C conf
Robust Multi-Features Segmentation and Indexing for Natural Sound Environments.
CBMI
Gordon Wichern, Harvey D. Thornburg, Brandon Mechtley, Alex Fink, Kai Tu, Andreas Spanias
2006 B conf
An Environmentally Adaptive System for Rapid Acoustic Transmission Loss Prediction.
IJCNN
Gordon Wichern, Mahmood R. Azimi-Sadjadi, Michael Mungiole