An Environmentally Adaptive System for Rapid Acoustic Transmission Loss Prediction. - Gordon Wichern; Mahmood R. Azimi-Sadjadi; Michael Mungiole (IJCNN, 2006)

Robust Multi-Features Segmentation and Indexing for Natural Sound Environments. - Gordon Wichern; Harvey D. Thornburg; Brandon Mechtley; Alex Fink; Kai Tu; Andreas Spanias (CBMI, 2007)

An Operationally Adaptive System for Rapid Acoustic Transmission Loss Prediction. - Michael McCarron; Mahmood R. Azimi-Sadjadi; Gordon Wichern; Michael Mungiole (IJCNN, 2007)

Environmentally adaptive acoustic transmission loss prediction in turbulent and nonturbulent atmospheres. - Gordon Wichern; Mahmood R. Azimi-Sadjadi; Michael Mungiole (Neural Networks, 2007)

Fast query by example of environmental sounds via robust and efficient cluster-based indexing. - Jiachen Xue; Gordon Wichern; Harvey D. Thornburg; Andreas Spanias (ICASSP, 2008)

Multi-channel audio segmentation for continuous observation and archival of large spaces. - Gordon Wichern; Harvey D. Thornburg; Andreas Spanias (ICASSP, 2009)

Continuous observation and archival of acoustic scenes using wireless sensor networks. - Gordon Wichern; Homin Kwon; Andreas Spanias; Alex Fink; Harvey D. Thornburg (DPS, 2009)

Unifying semantic and content-based approaches for retrieval of environmental sounds. - Gordon Wichern; Harvey D. Thornburg; Andreas Spanias (WASPAA, 2009)

Combining semantic, social, and acoustic similarity for retrieval of environmental sounds. - Brandon Mechtley; Gordon Wichern; Harvey D. Thornburg; Andreas Spanias (ICASSP, 2010)

Automatic audio tagging using covariate shift adaptation. - Gordon Wichern; Makoto Yamada; Harvey D. Thornburg; Masashi Sugiyama; Andreas Spanias (ICASSP, 2010)

Direct importance estimation with probabilistic principal component analyzers. - Makoto Yamada; Masashi Sugiyama; Gordon Wichern (ICASSP, 2010)

Acceleration of sequence kernel computation for real-time speaker identification. - Makoto Yamada; Masashi Sugiyama; Gordon Wichern; Tomoko Matsui (ICASSP, 2010)

An Ontological Framework for Retrieving Environmental Sounds Using Semantics and Acoustic Content. - Gordon Wichern; Brandon Mechtley; Alex Fink; Harvey D. Thornburg; Andreas Spanias (EURASIP J. Audio Speech Music. Process., 2010)

Direct Importance Estimation with a Mixture of Probabilistic Principal Component Analyzers. - Makoto Yamada; Masashi Sugiyama; Gordon Wichern; Jaak Simm (IEICE Trans. Inf. Syst., 2010)

Segmentation, Indexing, and Retrieval for Environmental and Natural Sounds. - Gordon Wichern; Jiachen Xue; Harvey D. Thornburg; Brandon Mechtley; Andreas Spanias (IEEE Trans. Speech Audio Process., 2010)

Improving the Accuracy of Least-Squares Probabilistic Classifiers. - Makoto Yamada; Masashi Sugiyama; Gordon Wichern; Jaak Simm (IEICE Trans. Inf. Syst., 2011)

Noise adaptive optimization of matrix initialization for frequency-domain independent component analysis. - Makoto Yamada; Gordon Wichern; Kazunobu Kondo; Masashi Sugiyama; Hiroshi Sawada (Digit. Signal Process., 2013)

Low-Latency approximation of bidirectional recurrent networks for speech denoising. - Gordon Wichern; Alexey Lukin (WASPAA, 2017)

Multimodal Attention for Fusion of Audio and Spatiotemporal Features for Video Description. - Chiori Hori; Takaaki Hori; Gordon Wichern; Jue Wang 010; Teng-Yok Lee; Anoop Cherian; Tim K. Marks (CVPR Workshops, 2018)

Phase Reconstruction with Learned Time-Frequency Representations for Single-Channel Speech Separation. - Gordon Wichern; Jonathan Le Roux (IWAENC, 2018)

Teacher-student Deep Clustering for Low-delay Single Channel Speech Separation. - Ryo Aihara; Toshiyuki Hanazawa; Yohei Okato; Gordon Wichern; Jonathan Le Roux (ICASSP, 2019)

End-to-end Audio Visual Scene-aware Dialog Using Multimodal Attention-based Video Features. - Chiori Hori; Huda AlAmri; Jue Wang 010; Gordon Wichern; Takaaki Hori; Anoop Cherian; Tim K. Marks; Vincent Cartillier; Raphael Gontijo Lopes; Abhishek Das; Irfan Essa; Dhruv Batra; et al. (ICASSP, 2019)

The Phasebook: Building Complex Masks via Discrete Representations for Source Separation. - Jonathan Le Roux; Gordon Wichern; Shinji Watanabe 001; Andy M. Sarroff; John R. Hershey (ICASSP, 2019)

Bootstrapping Single-channel Source Separation via Unsupervised Spatial Clustering on Stereo Mixtures. - Prem Seetharaman; Gordon Wichern; Jonathan Le Roux; Bryan Pardo (ICASSP, 2019)

Class-conditional Embeddings for Music Source Separation. - Prem Seetharaman; Gordon Wichern; Shrikant Venkataramani; Jonathan Le Roux (ICASSP, 2019)

WHAM!: Extending Speech Separation to Noisy Environments. - Gordon Wichern; Joe Antognini; Michael Flynn; Licheng Richard Zhu; Emmett McQuinn; Dwight Crow; Ethan Manilow; Jonathan Le Roux (INTERSPEECH, 2019)

Cutting Music Source Separation Some Slakh: A Dataset to Study the Impact of Training Data Quality and Quantity. - Ethan Manilow; Gordon Wichern; Prem Seetharaman; Jonathan Le Roux (WASPAA, 2019)

Bootstrapping deep music separation from primitive auditory grouping principles. - Prem Seetharaman; Gordon Wichern; Jonathan Le Roux; Bryan Pardo (CoRR, 2019)

Phasebook and Friends: Leveraging Discrete Representations for Source Separation. - Jonathan Le Roux; Gordon Wichern; Shinji Watanabe 001; Andy M. Sarroff; John R. Hershey (IEEE J. Sel. Top. Signal Process., 2019)

WHAMR!: Noisy and Reverberant Single-Channel Speech Separation. - Matthew Maciejewski; Gordon Wichern; Emmett McQuinn; Jonathan Le Roux (ICASSP, 2020)

Learning to Separate Sounds from Weakly Labeled Scenes. - Fatemeh Pishdadian; Gordon Wichern; Jonathan Le Roux (ICASSP, 2020)

All-in-One Transformer: Unifying Speech Recognition, Audio Tagging, and Event Detection. - Niko Moritz; Gordon Wichern; Takaaki Hori; Jonathan Le Roux (INTERSPEECH, 2020)

Hierarchical Musical Instrument Separation. - Ethan Manilow; Gordon Wichern; Jonathan Le Roux (ISMIR, 2020)

Autoclip: Adaptive Gradient Clipping for Source Separation Networks. - Prem Seetharaman; Gordon Wichern; Bryan Pardo; Jonathan Le Roux (MLSP, 2020)

Finding Strength in Weakness: Learning to Separate Sounds With Weak Supervision. - Fatemeh Pishdadian; Gordon Wichern; Jonathan Le Roux (IEEE ACM Trans. Audio Speech Lang. Process., 2020)

Transcription Is All You Need: Learning To Separate Musical Mixtures With Score As Supervision. - Yun-Ning Hung; Gordon Wichern; Jonathan Le Roux (ICASSP, 2021)

Convolutive Prediction for Reverberant Speech Separation. - Zhong-Qiu Wang 001; Gordon Wichern; Jonathan Le Roux (WASPAA, 2021)

Anomalous Sound Detection Using Attentive Neural Processes. - Gordon Wichern; Ankush Chakrabarty; Zhong-Qiu Wang 001; Jonathan Le Roux (WASPAA, 2021)

Attentive Neural Processes and Batch Bayesian Optimization for Scalable Calibration of Physics-Informed Digital Twins. - Ankush Chakrabarty; Gordon Wichern; Christopher R. Laughman (CoRR, 2021)

Leveraging Low-Distortion Target Estimates for Improved Speech Enhancement. - Zhong-Qiu Wang 001; Gordon Wichern; Jonathan Le Roux (CoRR, 2021)

On the Compensation Between Magnitude and Phase in Speech Separation. - Zhong-Qiu Wang 001; Gordon Wichern; Jonathan Le Roux (IEEE Signal Process. Lett., 2021)

Convolutive Prediction for Monaural Speech Dereverberation and Noisy-Reverberant Speaker Separation. - Zhong-Qiu Wang 001; Gordon Wichern; Jonathan Le Roux (IEEE ACM Trans. Audio Speech Lang. Process., 2021)

Improved Domain Generalization via Disentangled Multi-Task Learning in Unsupervised Anomalous Sound Detection. - Satvik Venkatesh; Gordon Wichern; Aswin Shanmugam Subramanian; Jonathan Le Roux (DCASE, 2022)

The Cocktail Fork Problem: Three-Stem Audio Separation for Real-World Soundtracks. - Darius Petermann; Gordon Wichern; Zhong-Qiu Wang 001; Jonathan Le Roux (ICASSP, 2022)

Locate This, Not that: Class-Conditioned Sound Event DOA Estimation. - Olga Slizovskaia; Gordon Wichern; Zhong-Qiu Wang 001; Jonathan Le Roux (ICASSP, 2022)

Heterogeneous Target Speech Separation. - Efthymios Tzinis; Gordon Wichern; Aswin Shanmugam Subramanian; Paris Smaragdis; Jonathan Le Roux (INTERSPEECH, 2022)

Towards End-to-end Speaker Diarization in the Wild. - Zexu Pan; Gordon Wichern; François G. Germain; Aswin Shanmugam Subramanian; Jonathan Le Roux (CoRR, 2022)

Meta-Learning of Neural State-Space Models Using Data From Similar Systems. - Ankush Chakrabarty; Gordon Wichern; Christopher R. Laughman (CoRR, 2022)

Scenario-Aware Audio-Visual TF-Gridnet for Target Speech Extraction. - Zexu Pan; Gordon Wichern; Yoshiki Masuyama; François G. Germain; Sameer Khurana; Chiori Hori; Jonathan Le Roux (ASRU, 2023)

Synthesizing Building Operation Data with Generative Models: VAEs, GANs, or Something In Between? - Alessandro Salatiello; Ye Wang 001; Gordon Wichern; Toshiaki Koike-Akino; Yoshihiro Ohta; Yosuke Kaneko; Christopher R. Laughman; Ankush Chakrabarty (e-Energy (Companion), 2023)

Reverberation as Supervision For Speech Separation. - Rohith Aralikatti; Christoph Böddeker; Gordon Wichern; Aswin Shanmugam Subramanian; Jonathan Le Roux (ICASSP, 2023)

Latent Iterative Refinement for Modular Source Separation. - Dimitrios Bralios; Efthymios Tzinis; Gordon Wichern; Paris Smaragdis; Jonathan Le Roux (ICASSP, 2023)

Paᗧ-HuBERT: Self-Supervised Music Source Separation Via Primitive Auditory Clustering And Hidden-Unit Bert. - Ke Chen; Gordon Wichern; François G. Germain; Jonathan Le Roux (ICASSP Workshops, 2023)

Hyperbolic Audio Source Separation. - Darius Petermann; Gordon Wichern; Aswin Shanmugam Subramanian; Jonathan Le Roux (ICASSP, 2023)

Optimal Condition Training for Target Source Separation. - Efthymios Tzinis; Gordon Wichern; Paris Smaragdis; Jonathan Le Roux (ICASSP, 2023)

Cold Diffusion for Speech Enhancement. - Hao Yen; François G. Germain; Gordon Wichern; Jonathan Le Roux (ICASSP, 2023)

Hyperbolic Unsupervised Anomalous Sound Detection. - François G. Germain; Gordon Wichern; Jonathan Le Roux (WASPAA, 2023)

Location as Supervision for Weakly Supervised Multi-Channel Source Separation of Machine Sounds. - Ricardo Falcón Pérez; Gordon Wichern; François G. Germain; Jonathan Le Roux (WASPAA, 2023)

Pac-HuBERT: Self-Supervised Music Source Separation via Primitive Auditory Clustering and Hidden-Unit BERT. - Ke Chen; Gordon Wichern; François G. Germain; Jonathan Le Roux (CoRR, 2023)

The Sound Demixing Challenge 2023 - Cinematic Demixing Track. - Stefan Uhlich; Giorgio Fabbro; Masato Hirano; Shusuke Takahashi; Gordon Wichern; Jonathan Le Roux; Dipam Chakraborty; Sharada P. Mohanty; Kai Li; Yi Luo 004; Jianwei Yu 001; Rongzhi Gu; et al. (CoRR, 2023)

Tackling the Cocktail Fork Problem for Separation and Transcription of Real-World Soundtracks. - Darius Petermann; Gordon Wichern; Aswin Shanmugam Subramanian; Zhong-Qiu Wang 001; Jonathan Le Roux (IEEE ACM Trans. Audio Speech Lang. Process., 2023)

STFT-Domain Neural Speech Enhancement With Very Low Algorithmic Latency. - Zhong-Qiu Wang 001; Gordon Wichern; Shinji Watanabe 001; Jonathan Le Roux (IEEE ACM Trans. Audio Speech Lang. Process., 2023)

Librispeech Slakh Unmix (LSX). - Darius Petermann; Gordon Wichern; Jonathan Le Roux (Zenodo, 2023)

Physics-Constrained Meta-Learning for Online Adaptation and Estimation in Positioning Applications. - Ankush Chakrabarty; Vedang M. Deshpande; Gordon Wichern; Karl Berntorp (CDC, 2024)

Generation or Replication: Auscultating Audio Latent Diffusion Models. - Dimitrios Bralios; Gordon Wichern; François G. Germain; Zexu Pan; Sameer Khurana; Chiori Hori; Jonathan Le Roux (ICASSP, 2024)

Why Does Music Source Separation Benefit from Cacophony? - Chang-Bin Jeon; Gordon Wichern; François G. Germain; Jonathan Le Roux (ICASSP Workshops, 2024)

NIIRF: Neural IIR Filter Field for HRTF Upsampling and Personalization. - Yoshiki Masuyama; Gordon Wichern; François G. Germain; Zexu Pan; Sameer Khurana; Chiori Hori; Jonathan Le Roux (ICASSP, 2024)

NeuroHeed+: Improving Neuro-Steered Speaker Extraction with Joint Auditory Attention Detection. - Zexu Pan; Gordon Wichern; François G. Germain; Sameer Khurana; Jonathan Le Roux (ICASSP, 2024)

Late Audio-Visual Fusion for in-the-Wild Speaker Diarization. - Zexu Pan; Gordon Wichern; François G. Germain; Aswin Shanmugam Subramanian; Jonathan Le Roux (ICASSP Workshops, 2024)

Improving Audio Captioning Models with Fine-Grained Audio Features, Text Embedding Supervision, and LLM Mix-Up Augmentation. - Shih-Lun Wu; Xuankai Chang; Gordon Wichern; Jee-Weon Jung; François G. Germain; Jonathan Le Roux; Shinji Watanabe 001 (ICASSP, 2024)

Deep Neural Room Acoustics Primitive. - Yuhang He; Anoop Cherian; Gordon Wichern; Andrew Markham (ICML, 2024)

Sound Event Bounding Boxes. - Janek Ebbers; François G. Germain; Gordon Wichern; Jonathan Le Roux (INTERSPEECH, 2024)

ZeroST: Zero-Shot Speech Translation. - Sameer Khurana; Chiori Hori; Antoine Laurent; Gordon Wichern; Jonathan Le Roux (INTERSPEECH, 2024)

PARIS: Pseudo-AutoRegressIve Siamese Training for Online Speech Separation. - Zexu Pan; Gordon Wichern; François G. Germain; Kohei Saijo; Jonathan Le Roux (INTERSPEECH, 2024)

Enhanced Reverberation as Supervision for Unsupervised Speech Separation. - Kohei Saijo; Gordon Wichern; François G. Germain; Zexu Pan; Jonathan Le Roux (INTERSPEECH, 2024)

TF-Locoformer: Transformer with Local Modeling by Convolution for Speech Separation and Enhancement. - Kohei Saijo; Gordon Wichern; François G. Germain; Zexu Pan; Jonathan Le Roux (IWAENC, 2024)

SMITIN: Self-Monitored Inference-Time INtervention for Generative Music Transformers. - Junghyun Koo; Gordon Wichern; François G. Germain; Sameer Khurana; Jonathan Le Roux (CoRR, 2024)

TS-SEP: Joint Diarization and Separation Conditioned on Estimated Speaker Embeddings. - Christoph Böddeker; Aswin Shanmugam Subramanian; Gordon Wichern; Reinhold Haeb-Umbach; Jonathan Le Roux (IEEE ACM Trans. Audio Speech Lang. Process., 2024)

The Sound Demixing Challenge 2023 - Cinematic Demixing Track. - Stefan Uhlich; Giorgio Fabbro; Masato Hirano; Shusuke Takahashi; Gordon Wichern; Jonathan Le Roux; Dipam Chakraborty; Sharada Mohanty; Kai Li; Yi Luo 004; Jianwei Yu 001; Rongzhi Gu; et al. (Trans. Int. Soc. Music. Inf. Retr., 2024)

30+ Years of Source Separation Research: Achievements and Future Challenges. - Shoko Araki; Nobutaka Ito; Reinhold Haeb-Umbach; Gordon Wichern; Zhong-Qiu Wang; Yuki Mitsufuji (ICASSP, 2025)

No Class Left Behind: A Closer Look at Class Balancing for Audio Tagging. - Janek Ebbers; François G. Germain; Kevin Wilkinghoff; Gordon Wichern; Jonathan Le Roux (ICASSP, 2025)

Retrieval-Augmented Neural Field for HRTF Upsampling and Personalization. - Yoshiki Masuyama; Gordon Wichern; François G. Germain; Christopher Ick; Jonathan Le Roux (ICASSP, 2025)

Leveraging Audio-Only Data for Text-Queried Target Sound Extraction. - Kohei Saijo; Janek Ebbers; François G. Germain; Sameer Khurana; Gordon Wichern; Jonathan Le Roux (ICASSP, 2025)

Task-Aware Unified Source Separation. - Kohei Saijo; Janek Ebbers; François G. Germain; Gordon Wichern; Jonathan Le Roux (ICASSP, 2025)

Keeping the Balance: Anomaly Score Calculation for Domain Generalization. - Kevin Wilkinghoff; Haici Yang; Janek Ebbers; François G. Germain; Gordon Wichern; Jonathan Le Roux (ICASSP, 2025)

Meta-Learning for Physically-Constrained Neural System Identification. - Ankush Chakrabarty; Gordon Wichern; Vedang M. Deshpande; Abraham P. Vinod; Karl Berntorp; Christopher R. Laughman (CoRR, 2025)

Data Augmentation Using Neural Acoustic Fields With Retrieval-Augmented Pre-training. - Christopher Ick; Gordon Wichern; Yoshiki Masuyama; François G. Germain; Jonathan Le Roux (CoRR, 2025)

Direction-Aware Neural Acoustic Fields for Few-Shot Interpolation of Ambisonic Impulse Responses. - Christopher Ick; Gordon Wichern; Yoshiki Masuyama; François G. Germain; Jonathan Le Roux (CoRR, 2025)

Probabilistic Forecasting for Building Energy Systems using Time-Series Foundation Models. - Young Jin Park; François G. Germain; Jing Liu 009; Ye Wang 001; Toshiaki Koike-Akino; Gordon Wichern; Navid Azizan; Christopher R. Laughman; Ankush Chakrabarty (CoRR, 2025)

HASRD: Hierarchical Acoustic and Semantic Representation Disentanglement. - Amir Hussein; Sameer Khurana; Gordon Wichern; François G. Germain; Jonathan Le Roux (CoRR, 2025)

Factorized RVQ-GAN For Disentangled Speech Tokenization. - Sameer Khurana; Dominik Klement; Antoine Laurent; Dominik Bobos; Juraj Novosad; Peter Gazdik; Ellen Zhang; Zili Huang; Amir Hussein; Ricard Marxer; Yoshiki Masuyama; Ryo Aihara; et al. (CoRR, 2025)

Physics-Informed Direction-Aware Neural Acoustic Fields. - Yoshiki Masuyama; François G. Germain; Gordon Wichern; Christopher Ick; Jonathan Le Roux (CoRR, 2025)

FasTUSS: Faster Task-Aware Unified Source Separation. - Francesco Paissan; Gordon Wichern; Yoshiki Masuyama; Ryo Aihara; François G. Germain; Kohei Saijo; Jonathan Le Roux (CoRR, 2025)