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Deep clustering: Discriminative embeddings for segmentation and separation

2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2016, p.31-35

2016

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Deep clustering and conventional networks for music separation: Stronger together

2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017-03, Vol.2017, p.61-65

2017

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Phase-sensitive and recognition-boosted speech separation using deep recurrent neural networks

2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2015, p.708-712

2015

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

2021 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), 2021, p.161-165

2021

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Hybrid CTC/Attention Architecture for End-to-End Speech Recognition

IEEE journal of selected topics in signal processing, 2017-12, Vol.11 (8), p.1240-1253

2017

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Phasebook and Friends: Leveraging Discrete Representations for Source Separation

IEEE journal of selected topics in signal processing, 2019-05, Vol.13 (2), p.370-382

2019

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Multi-Channel Deep Clustering: Discriminative Spectral and Spatial Embeddings for Speaker-Independent Speech Separation

2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018, p.1-5

2018

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Attention-Based Multimodal Fusion for Video Description

2017 IEEE International Conference on Computer Vision (ICCV), 2017, p.4203-4212

2017

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Improving Bird Classification with Unsupervised Sound Separation

ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022, p.636-640

2022

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Deep long short-term memory adaptive beamforming networks for multichannel robust speech recognition

2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017, p.271-275

2017

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Differentiable Consistency Constraints for Improved Deep Speech Enhancement

ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019, p.900-904

2019

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New Era for Robust Speech Recognition: Exploiting Deep Learning

1st ed. 2017 edition., 2017

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Minimum word error training of long short-term memory recurrent neural network language models for speech recognition

2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2016, p.5990-5994

2016

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Deep NMF for speech separation

2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2015, p.66-70

2015

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

2021 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), 2021, p.51-55

2021

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Improving Universal Sound Separation Using Sound Classification

ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020, p.96-100

2020

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

ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021, p.186-190

2021

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Monaural speech separation and recognition challenge

Computer speech & language, 2010-01, Vol.24 (1), p.1-15

2010

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

ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021, p.840-844

2021

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Approximating the Kullback Leibler Divergence Between Gaussian Mixture Models

2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07, 2007, Vol.4, p.IV-317-IV-320

2007

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

ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022, p.686-690

2022

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End-to-End Multi-Speaker Speech Recognition

2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018, p.4819-4823

2018

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Super-human multi-talker speech recognition: A graphical modeling approach

Computer speech & language, 2010, Vol.24 (1), p.45-66

2010

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Self-Supervised Learning from Automatically Separated Sound Scenes

2021 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), 2021, p.251-255

2021

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An End-to-End Language-Tracking Speech Recognizer for Mixed-Language Speech

2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018, p.4919-4923

2018

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Deep clustering: Discriminative embeddings for segmentation and separation

Deep clustering and conventional networks for music separation: Stronger together

Phase-sensitive and recognition-boosted speech separation using deep recurrent neural networks

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

Hybrid CTC/Attention Architecture for End-to-End Speech Recognition

Phasebook and Friends: Leveraging Discrete Representations for Source Separation

Multi-Channel Deep Clustering: Discriminative Spectral and Spatial Embeddings for Speaker-Independent Speech Separation

Attention-Based Multimodal Fusion for Video Description

Improving Bird Classification with Unsupervised Sound Separation

Deep long short-term memory adaptive beamforming networks for multichannel robust speech recognition

Differentiable Consistency Constraints for Improved Deep Speech Enhancement

New Era for Robust Speech Recognition: Exploiting Deep Learning

Minimum word error training of long short-term memory recurrent neural network language models for speech recognition

Deep NMF for speech separation

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

Improving Universal Sound Separation Using Sound Classification

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

Monaural speech separation and recognition challenge

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

Approximating the Kullback Leibler Divergence Between Gaussian Mixture Models

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

End-to-End Multi-Speaker Speech Recognition

Super-human multi-talker speech recognition: A graphical modeling approach

Self-Supervised Learning from Automatically Separated Sound Scenes

An End-to-End Language-Tracking Speech Recognizer for Mixed-Language Speech

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