Scott Wisdom

According to our database¹, Scott Wisdom authored at least 46 papers between 2014 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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On csauthors.net:

Bibliography

2024

Objective and subjective evaluation of speech enhancement methods in the UDASE task of the 7th CHiME challenge.

[BibT_eX]

[DOI]

CoRR, 2024

2023

TokenSplit: Using Discrete Speech Representations for Direct, Refined, and Transcript-Conditioned Speech Separation and Recognition.

[BibT_eX]

[DOI]

CoRR, 2023

The CHiME-7 UDASE task: Unsupervised domain adaptation for conversational speech enhancement.

[BibT_eX]

[DOI]

CoRR, 2023

Unsupervised Multi-channel Separation and Adaptation.

[BibT_eX]

[DOI]

CoRR, 2023

Audioslots: A Slot-Centric Generative Model For Audio Separation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Listening with Googlears: Low-Latency Neural Multiframe Beamforming and Equalization for Hearing Aids.

[BibT_eX]

[DOI]

Proceedings of the Interspeech 2022, 2022

Distance-Based Sound Separation.

[BibT_eX]

[DOI]

Proceedings of the Interspeech 2022, 2022

CycleGAN-based Unpaired Speech Dereverberation.

[BibT_eX]

[DOI]

Hannah Muckenhirn

Aleksandr Safin

Hakan Erdogan

Felix de Chaumont Quitry

Marco Tagliasacchi

Scott Wisdom

John R. Hershey

Proceedings of the Interspeech 2022, 2022

Text-Driven Separation of Arbitrary Sounds.

[BibT_eX]

[DOI]

Proceedings of the Interspeech 2022, 2022

Adapting Speech Separation to Real-World Meetings using Mixture Invariant Training.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2022

Improving Bird Classification with Unsupervised Sound Separation.

[BibT_eX]

[DOI]

Tom Denton

Scott Wisdom

John R. Hershey

Proceedings of the IEEE International Conference on Acoustics, 2022

AudioScopeV2: Audio-Visual Attention Architectures for Calibrated Open-Domain On-Screen Sound Separation.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Improving On-Screen Sound Separation for Open Domain Videos with Audio-Visual Self-attention.

[BibT_eX]

[DOI]

CoRR, 2021

Sparse, Efficient, and Semantic Mixture Invariant Training: Taming In-the-Wild Unsupervised Sound Separation.

[BibT_eX]

[DOI]

Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2021

DF-Conformer: Integrated Architecture of Conv-Tasnet and Conformer Using Linear Complexity Self-Attention for Speech Enhancement.

[BibT_eX]

[DOI]

Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2021

Self-Supervised Learning from Automatically Separated Sound Scenes.

[BibT_eX]

[DOI]

Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2021

Sequential Multi-Frame Neural Beamforming for Speech Separation and Enhancement.

[BibT_eX]

[DOI]

Proceedings of the IEEE Spoken Language Technology Workshop, 2021

Integration of Speech Separation, Diarization, and Recognition for Multi-Speaker Meetings: System Description, Comparison, and Analysis.

[BibT_eX]

[DOI]

Proceedings of the IEEE Spoken Language Technology Workshop, 2021

Into the Wild with AudioScope: Unsupervised Audio-Visual Separation of On-Screen Sounds.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

What's all the Fuss about Free Universal Sound Separation Data?

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2021

Sound Event Detection and Separation: A Benchmark on Desed Synthetic Soundscapes.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2021

End-To-End Diarization for Variable Number of Speakers with Local-Global Networks and Discriminative Speaker Embeddings.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Unsupervised Sound Separation Using Mixtures of Mixtures.

[BibT_eX]

[DOI]

CoRR, 2020

Unsupervised Sound Separation Using Mixture Invariant Training.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Improving Universal Sound Separation Using Sound Classification.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Performance Study of a Convolutional Time-Domain Audio Separation Network for Real-Time Speech Denoising.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Improving Sound Event Detection in Domestic Environments using Sound Separation.

[BibT_eX]

[DOI]

Proceedings of 5th the Workshop on Detection and Classification of Acoustic Scenes and Events 2020 (DCASE 2020), 2020

2019

Alternating Between Spectral and Spatial Estimation for Speech Separation and Enhancement.

[BibT_eX]

[DOI]

CoRR, 2019

Transfer Learning From Sound Representations For Anger Detection in Speech.

[BibT_eX]

[DOI]

Mohamed Ezzeldin A. Elshaer

Scott Wisdom

Taniya Mishra

CoRR, 2019

Universal Sound Separation.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2019

Differentiable Consistency Constraints for Improved Deep Speech Enhancement.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2019

SDR - Half-baked or Well Done?

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2019

2017

Deep recurrent NMF for speech separation by unfolding iterative thresholding.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2017

Building recurrent networks by unfolding iterative thresholding for sequential sparse recovery.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Novel Deep Architectures in Speech Processing.

[BibT_eX]

[DOI]

Proceedings of the New Era for Robust Speech Recognition, Exploiting Deep Learning., 2017

2016

Interpretable Recurrent Neural Networks Using Sequential Sparse Recovery.

[BibT_eX]

[DOI]

CoRR, 2016

Full-Capacity Unitary Recurrent Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

On spectral noncircularity of natural signals.

[BibT_eX]

[DOI]

Scott Wisdom

Les Atlas

James W. Pitton

Proceedings of the 2016 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM), 2016

Deep unfolding for multichannel source separation.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Benefits of noncircular statistics for nonstationary signals.

[BibT_eX]

[DOI]

Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016

2015

Speech Analysis With the Strong Uncorrelating Transform.

[BibT_eX]

[DOI]

Greg Okopal

Scott Wisdom

Les Atlas

IEEE ACM Trans. Audio Speech Lang. Process., 2015

Enhancement and Recognition of Reverberant and Noisy Speech by Extending Its Coherence.

[BibT_eX]

[DOI]

CoRR, 2015

Voice activity detection using subband noncircularity.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

2014

Extending coherence time for analysis of modulated random processes.

[BibT_eX]

[DOI]

Scott Wisdom

Les Atlas

James Pittore

Proceedings of the IEEE International Conference on Acoustics, 2014

Extending coherence for optimal detection of nonstationary harmonic signals.

[BibT_eX]

[DOI]

Scott Wisdom

James W. Pitton

Les Atlas

Proceedings of the 48th Asilomar Conference on Signals, Systems and Computers, 2014

Estimating the noncircularity of latent components within complex-valued subband mixtures with applications to speech processing.

[BibT_eX]

[DOI]

Greg Okopal

Scott Wisdom

Les Atlas

Proceedings of the 48th Asilomar Conference on Signals, Systems and Computers, 2014

Scott Wisdom

Timeline

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Links

On csauthors.net:

Bibliography

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