Gordon Wichern

发表

Segmentation, Indexing, and Retrieval for Environmental and Natural Sounds

Andreas Spanias, Brandon Mechtley, Gordon Wichern, 2010, IEEE Transactions on Audio, Speech, and Language Processing.

Comparison of Loudness Features for Automatic Level Adjustment in Mixing

Gordon Wichern, Aaron Wishnick, Alexey Lukin, 2015 .

Acceleration of sequence kernel computation for real-time speaker identification

Masashi Sugiyama, Makoto Yamada, Tomoko Matsui, 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

Low-Latency approximation of bidirectional recurrent networks for speech denoising

Gordon Wichern, Alexey Lukin, G. Wichern, 2017, 2017 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA).

All-in-One Transformer: Unifying Speech Recognition, Audio Tagging, and Event Detection

Jonathan Le Roux, Takaaki Hori, Gordon Wichern, 2020, INTERSPEECH.

Bootstrapping deep music separation from primitive auditory grouping principles pdf

Jonathan Le Roux, Bryan Pardo, Prem Seetharaman, 2019, ArXiv.

WHAM!: Extending Speech Separation to Noisy Environments

Jonathan Le Roux, Michael Flynn, Ethan Manilow, 2019, INTERSPEECH.

Cutting Music Source Separation Some Slakh: A Dataset to Study the Impact of Training Data Quality and Quantity

Jonathan Le Roux, Prem Seetharaman, Ethan Manilow, 2019, 2019 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA).

End-to-end Audio Visual Scene-aware Dialog Using Multimodal Attention-based Video Features

Anoop Cherian, Abhishek Das, Takaaki Hori, 2018, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Robust segmentation and retrieval of environmental sounds

Gordon Wichern, 2010 .

Phase Reconstruction with Learned Time-Frequency Representations for Single-Channel Speech Separation

Jonathan Le Roux, Gordon Wichern, G. Wichern, 2018, 2018 16th International Workshop on Acoustic Signal Enhancement (IWAENC).

An Environmentally Adaptive System for Rapid Acoustic Transmission Loss Prediction

Mahmood R. Azimi-Sadjadi, Gordon Wichern, Michael Mungiole, 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

Finding Strength in Weakness: Learning to Separate Sounds With Weak Supervision

Jonathan Le Roux, Gordon Wichern, Fatemeh Pishdadian, 2019, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Teacher-student Deep Clustering for Low-delay Single Channel Speech Separation

Jonathan Le Roux, Gordon Wichern, Toshiyuki Hanazawa, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Transcription Is All You Need: Learning to Separate Musical Mixtures with Score as Supervision pdf

Jonathan Le Roux, Gordon Wichern, Yun-Ning Hung, 2020, ArXiv.

Direct importance estimation with probabilistic principal component analyzers

Masashi Sugiyama, Makoto Yamada, Gordon Wichern, 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

An Ontological Framework for Retrieving Environmental Sounds Using Semantics and Acoustic Content

Andreas Spanias, Alex Fink, Brandon Mechtley, 2010, EURASIP J. Audio Speech Music. Process..

Noise adaptive optimization of matrix initialization for frequency-domain independent component analysis

Masashi Sugiyama, Hiroshi Sawada, Makoto Yamada, 2013, Digit. Signal Process..

Fast query by example of environmental sounds via robust and efficient cluster-based indexing

Andreas Spanias, Gordon Wichern, Jiachen Xue, 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

The Phasebook: Building Complex Masks via Discrete Representations for Source Separation

Jonathan Le Roux, John R. Hershey, Shinji Watanabe, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Direct Importance Estimation with a Mixture of Probabilistic Principal Component Analyzers

Masashi Sugiyama, Makoto Yamada, Gordon Wichern, 2010, IEICE Trans. Inf. Syst..

Quantitative Analysis of Masking in Multitrack Mixes Using Loudness Loss

Gordon Wichern, Aaron Wishnick, Hannah Robertson, 2016 .

RE-SONIFICATION OF GEOGRAPHIC SOUND ACTIVITY USING ACOUSTIC, SEMANTIC, AND SOCIAL INFORMATION

Andreas Spanias, Alex Fink, Brandon Mechtley, 2010 .

Multimodal Attention for Fusion of Audio and Spatiotemporal Features for Video Description

Anoop Cherian, Takaaki Hori, Jue Wang, 2018, CVPR Workshops.

Unifying semantic and content-based approaches for retrieval of environmental sounds

Andreas Spanias, Gordon Wichern, Harvey D. Thornburg, 2009, 2009 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics.

An Operationally Adaptive System for Rapid Acoustic Transmission Loss Prediction

Mahmood R. Azimi-Sadjadi, Gordon Wichern, Michael McCarron, 2007, 2007 International Joint Conference on Neural Networks.

Audio content-based feature extraction algorithms using J-DSP for arts, media and engineering courses

Andreas Spanias, Harvey Thornburg, Gordon Wichern, 2010, 2010 IEEE Frontiers in Education Conference (FIE).

Learning to Separate Sounds from Weakly Labeled Scenes

Jonathan Le Roux, Gordon Wichern, Fatemeh Pishdadian, 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Multi-channel audio segmentation for continuous observation and archival of large spaces

Andreas Spanias, Gordon Wichern, Harvey D. Thornburg, 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

Automatic audio tagging using covariate shift adaptation

Masashi Sugiyama, Andreas Spanias, Makoto Yamada, 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

Classification of ion-channel signals using neural networks

Andreas Spanias, Gordon Wichern, Bharatan Konnanath, 2009 .

Class-conditional Embeddings for Music Source Separation

Jonathan Le Roux, Prem Seetharaman, Gordon Wichern, 2018, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Hierarchical Musical Instrument Separation

Jonathan Le Roux, Ethan Manilow, Gordon Wichern, 2020, ISMIR.

Environmentally adaptive acoustic transmission loss prediction with neural networks

Mahmood R. Azimi-Sadjadi, Gordon Wichern, Michael Mungiole, 2005, SPIE Defense + Commercial Sensing.

WHAMR!: Noisy and Reverberant Single-Channel Speech Separation

Jonathan Le Roux, Matthew Maciejewski, Gordon Wichern, 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Bootstrapping Single-channel Source Separation via Unsupervised Spatial Clustering on Stereo Mixtures

Jonathan Le Roux, Bryan Pardo, Prem Seetharaman, 2018, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Deep clustering-based single-channel speech separation and recent advances

Jonathan Le Roux, Gordon Wichern, Ryo Aihara, 2020 .

Combining semantic, social, and acoustic similarity for retrieval of environmental sounds

Andreas Spanias, Brandon Mechtley, Gordon Wichern, 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

Continuous observation and archival of acoustic scenes using wireless sensor networks

Andreas Spanias, Alex Fink, Harvey Thornburg, 2009, 2009 16th International Conference on Digital Signal Processing.

Robust Multi-Features Segmentation and Indexing for Natural Sound Environments

Andreas Spanias, Alex Fink, Brandon Mechtley, 2007, 2007 International Workshop on Content-Based Multimedia Indexing.

Distortion-Aware Query-by-Example for Environmental Sounds

Andreas Spanias, Harvey Thornburg, Gordon Wichern, 2007, 2007 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics.

Environmentally adaptive acoustic transmission loss prediction in turbulent and nonturbulent atmospheres

Mahmood R. Azimi-Sadjadi, Gordon Wichern, Michael Mungiole, 2007, Neural Networks.

Improving the Accuracy of Least-Squares Probabilistic Classifiers

Masashi Sugiyama, Makoto Yamada, Gordon Wichern, 2011, IEICE Trans. Inf. Syst..

Anomalous Sound Detection Using Attentive Neural Processes

Zhong-Qiu Wang, Gordon Wichern, Ankush Chakrabarty, 2021, 2021 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA).

Convolutive Prediction for Monaural Speech Dereverberation and Noisy-Reverberant Speaker Separation

Zhong-Qiu Wang, Gordon Wichern, Jonathan Le Roux, 2021, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

The Cocktail Fork Problem: Three-Stem Audio Separation for Real-World Soundtracks pdf

Zhong-Qiu Wang, Gordon Wichern, Darius Petermann, 2021, ArXiv.

Attentive Neural Processes and Batch Bayesian Optimization for Scalable Calibration of Physics-Informed Digital Twins pdf

Gordon Wichern, Ankush Chakrabarty, Christopher Laughman, 2021, ArXiv.

Leveraging Low-Distortion Target Estimates for Improved Speech Enhancement pdf

Zhong-Qiu Wang, Gordon Wichern, Jonathan Le Roux, 2021, ArXiv.

Convolutive Prediction for Reverberant Speech Separation

Zhong-Qiu Wang, Gordon Wichern, Jonathan Le Roux, 2021, 2021 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA).

On the Compensation Between Magnitude and Phase in Speech Separation

Zhong-Qiu Wang, Gordon Wichern, Jonathan Le Roux, 2021, IEEE Signal Processing Letters.

Improving the Accuracy of

Masashi Sugiyama, Makoto Yamada, Gordon Wichern, 2011 .

Teacher-Student Deep Clustering For Low-Delay Channel Speech Separation

Jonathan Le Roux, Gordon Wichern, Toshiyuki Hanazawa, 2020 .

Finding Strength in Weakness: Learning to Separate Sounds With Weak Supervision

Jonathan Le Roux, Gordon Wichern, Fatemeh Pishdadian, 2020, IEEE/ACM Transactions on Audio, Speech, and Language Processing.