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Very Deep Convolutional Neural Networks for Noise Robust Speech Recognition

IEEE/ACM transactions on audio, speech, and language processing, 2016-12, Vol.24 (12), p.2263-2276

2016

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Investigating Raw Wave Deep Neural Networks for End-to-End Speaker Spoofing Detection

IEEE/ACM transactions on audio, speech, and language processing, 2018-11, Vol.26 (11), p.2002-2014

2018

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Sequence discriminative training for deep learning based acoustic keyword spotting

Speech communication, 2018-09, Vol.102, p.100-111

2018

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Discriminative Neural Embedding Learning for Short-Duration Text-Independent Speaker Verification

IEEE/ACM transactions on audio, speech, and language processing, 2019-11, Vol.27 (11), p.1686-1696

2019

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End-to-end spoofing detection with raw waveform CLDNNS

2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017, p.4860-4864

2017

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Adaptive Very Deep Convolutional Residual Network for Noise Robust Speech Recognition

IEEE/ACM transactions on audio, speech, and language processing, 2018-08, Vol.26 (8), p.1393-1405

2018

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The Accented English Speech Recognition Challenge 2020: Open Datasets, Tracks, Baselines, Results and Methods

ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021, p.6918-6922

2021

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Deep Feature Engineering for Noise Robust Spoofing Detection

IEEE/ACM transactions on audio, speech, and language processing, 2017-10, Vol.25 (10), p.1942-1955

2017

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AISpeech-SJTU Accent Identification System for the Accented English Speech Recognition Challenge

ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021, p.6254-6258

2021

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Two-Stage Single-Channel Speech Enhancement with Multi-Frame Filtering

Applied sciences, 2023-04, Vol.13 (8), p.4926

2023

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Phone Synchronous Speech Recognition With CTC Lattices

IEEE/ACM transactions on audio, speech, and language processing, 2017-01, Vol.25 (1), p.90-101

2017

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Cluster Adaptive Training for Deep Neural Network Based Acoustic Model

IEEE/ACM transactions on audio, speech, and language processing, 2016-03, Vol.24 (3), p.459-468

2016

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Cluster adaptive training for deep neural network

2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2015, p.4325-4329

2015

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Neural Network Based Multi-Factor Aware Joint Training for Robust Speech Recognition

IEEE/ACM transactions on audio, speech, and language processing, 2016-12, Vol.24 (12), p.2231-2240

2016

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An investigation into using parallel data for far-field speech recognition

2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2016, p.5725-5729

2016

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Reshaping deep neural network for fast decoding by node-pruning

2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2014, p.245-249

2014

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Efficient embedded speech recognition for very large vocabulary Mandarin car-navigation systems

IEEE transactions on consumer electronics, 2009-08, Vol.55 (3), p.1496-1500

2009

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Speaker-aware training of LSTM-RNNS for acoustic modelling

2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2016, p.5280-5284

2016

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MIMO-Speech: End-to-End Multi-Channel Multi-Speaker Speech Recognition

2019 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), 2019, p.237-244

2019

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Data augmentation using generative adversarial networks for robust speech recognition

Speech communication, 2019-11, Vol.114, p.1-9

2019

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Single-channel multi-talker speech recognition with permutation invariant training

Speech communication, 2018-11, Vol.104, p.1-11

2018

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Margin Matters: Towards More Discriminative Deep Neural Network Embeddings for Speaker Recognition

2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), 2019, p.1652-1656

2019

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Integrated adaptation with multi-factor joint-learning for far-field speech recognition

2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2016, p.5770-5774

2016

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Joint acoustic factor learning for robust deep neural network based automatic speech recognition

2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2016, p.5025-5029

2016

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Generating exact lattices in the WFST framework

2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2012, p.4213-4216

2012

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Very Deep Convolutional Neural Networks for Noise Robust Speech Recognition

Investigating Raw Wave Deep Neural Networks for End-to-End Speaker Spoofing Detection

Sequence discriminative training for deep learning based acoustic keyword spotting

Discriminative Neural Embedding Learning for Short-Duration Text-Independent Speaker Verification

End-to-end spoofing detection with raw waveform CLDNNS

Adaptive Very Deep Convolutional Residual Network for Noise Robust Speech Recognition

The Accented English Speech Recognition Challenge 2020: Open Datasets, Tracks, Baselines, Results and Methods

Deep Feature Engineering for Noise Robust Spoofing Detection

AISpeech-SJTU Accent Identification System for the Accented English Speech Recognition Challenge

Two-Stage Single-Channel Speech Enhancement with Multi-Frame Filtering

Phone Synchronous Speech Recognition With CTC Lattices

Cluster Adaptive Training for Deep Neural Network Based Acoustic Model

Cluster adaptive training for deep neural network

Neural Network Based Multi-Factor Aware Joint Training for Robust Speech Recognition

An investigation into using parallel data for far-field speech recognition

Reshaping deep neural network for fast decoding by node-pruning

Efficient embedded speech recognition for very large vocabulary Mandarin car-navigation systems

Speaker-aware training of LSTM-RNNS for acoustic modelling

MIMO-Speech: End-to-End Multi-Channel Multi-Speaker Speech Recognition

Data augmentation using generative adversarial networks for robust speech recognition

Single-channel multi-talker speech recognition with permutation invariant training

Margin Matters: Towards More Discriminative Deep Neural Network Embeddings for Speaker Recognition

Integrated adaptation with multi-factor joint-learning for far-field speech recognition

Joint acoustic factor learning for robust deep neural network based automatic speech recognition

Generating exact lattices in the WFST framework

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