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Exemplar-Based Sparse Representations for Noise Robust Automatic Speech Recognition

IEEE transactions on audio, speech, and language processing, 2011-09, Vol.19 (7), p.2067-2080

2011

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Audio Set: An ontology and human-labeled dataset for audio events

2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017, p.776-780

2017

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CNN architectures for large-scale audio classification

2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017, p.131-135

2017

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Speech Enhancement Under Low SNR Conditions Via Noise Estimation Using Sparse and Low-Rank NMF with Kullback-Leibler Divergence

IEEE/ACM transactions on audio, speech, and language processing, 2015-07, Vol.23 (7), p.1233-1242

2015

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Memory-Enhanced Neural Networks and NMF for Robust ASR

IEEE/ACM transactions on audio, speech, and language processing, 2014-06, Vol.22 (6), p.1037-1046

2014

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Estimating Uncertainty to Improve Exemplar-Based Feature Enhancement for Noise Robust Speech Recognition

IEEE/ACM transactions on audio, speech, and language processing, 2014-02, Vol.22 (2), p.368-380

2014

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Fast vocabulary acquisition in an NMF-based self-learning vocal user interface

Computer speech & language, 2014-07, Vol.28 (4), p.997-1017

2014

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Noise robust exemplar-based connected digit recognition

2010 IEEE International Conference on Acoustics, Speech and Signal Processing, 2010, p.4546-4549

2010

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Fusion of parametric and non-parametric approaches to noise-robust ASR

Speech communication, 2014-01, Vol.56 (Jan), p.49-62

2014

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The self-taught vocal interface

EURASIP journal on audio, speech, and music processing, 2014-12, Vol.2014 (1), Article 43

2014

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Exemplar-based speech enhancement for deep neural network based automatic speech recognition

2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2015, p.4485-4489

2015

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Feature enhancement of reverberant speech by distribution matching and non-negative matrix factorization

EURASIP journal on advances in signal processing, 2015-08, Vol.2015 (1), p.1-14, Article 76

2015

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Active-set newton algorithm for non-negative sparse coding of audio

2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2014, p.3092-3096

2014

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Data selection for noise robust exemplar matching

2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2016, p.5980-5984

2016

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Coupled Dictionaries for Exemplar-Based Speech Enhancement and Automatic Speech Recognition

IEEE/ACM transactions on audio, speech, and language processing, 2015-11, Vol.23 (11), p.1788-1799

2015

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Modelling non-stationary noise with spectral factorisation in automatic speech recognition

Computer speech & language, 2013-05, Vol.27 (3), p.763-779

2013

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Noise robust exemplar matching with alpha–beta divergence

Speech communication, 2016-02, Vol.76, p.127-142

2016

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An exemplar-based NMF approach to audio event detection

2013 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2013, p.1-4

2013

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Acquisition of ordinal words using weakly supervised NMF

2014 IEEE Spoken Language Technology Workshop (SLT), 2014, p.30-35

2014

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Modelling non-stationary noise with spectral factorisation in automatic speech recognition: Special Issue on Speech Separation and Recognition in Multisource Environments

Computer speech & language, 2013, Vol.27 (3), p.763-779

2013

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Large-scale audio event discovery in one million YouTube videos

2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017, p.786-790

2017

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Exemplar-based noise robust automatic speech recognition using modulation spectrogram features

2014 IEEE Spoken Language Technology Workshop (SLT), 2014, p.519-524

2014

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Dysarthric vocal interfaces with minimal training data

2014 IEEE Spoken Language Technology Workshop (SLT), 2014, p.248-253

2014

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Exemplar-based joint channel and noise compensation

2013 IEEE International Conference on Acoustics, Speech and Signal Processing, 2013, p.868-872

2013

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Mask estimation and imputation methods for missing data speech recognition in a multisource reverberant environment

Computer speech & language, 2013-05, Vol.27 (3), p.798-819

2013

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Exemplar-Based Sparse Representations for Noise Robust Automatic Speech Recognition

Audio Set: An ontology and human-labeled dataset for audio events

CNN architectures for large-scale audio classification

Speech Enhancement Under Low SNR Conditions Via Noise Estimation Using Sparse and Low-Rank NMF with Kullback-Leibler Divergence

Memory-Enhanced Neural Networks and NMF for Robust ASR

Estimating Uncertainty to Improve Exemplar-Based Feature Enhancement for Noise Robust Speech Recognition

Fast vocabulary acquisition in an NMF-based self-learning vocal user interface

Noise robust exemplar-based connected digit recognition

Fusion of parametric and non-parametric approaches to noise-robust ASR

The self-taught vocal interface

Exemplar-based speech enhancement for deep neural network based automatic speech recognition

Feature enhancement of reverberant speech by distribution matching and non-negative matrix factorization

Active-set newton algorithm for non-negative sparse coding of audio

Data selection for noise robust exemplar matching

Coupled Dictionaries for Exemplar-Based Speech Enhancement and Automatic Speech Recognition

Modelling non-stationary noise with spectral factorisation in automatic speech recognition

Noise robust exemplar matching with alpha–beta divergence

An exemplar-based NMF approach to audio event detection

Acquisition of ordinal words using weakly supervised NMF

Modelling non-stationary noise with spectral factorisation in automatic speech recognition: Special Issue on Speech Separation and Recognition in Multisource Environments

Large-scale audio event discovery in one million YouTube videos

Exemplar-based noise robust automatic speech recognition using modulation spectrogram features

Dysarthric vocal interfaces with minimal training data

Exemplar-based joint channel and noise compensation

Mask estimation and imputation methods for missing data speech recognition in a multisource reverberant environment

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