Marc Delcroix

Proceedings of the IEEE International Conference on Acoustics, 2019

Projection Back onto Filtered Observations for Speech Separation with Distributed Microphone Array.

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Proceedings of the 8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2019

2018

Context Adaptive Neural Network Based Acoustic Models for Rapid Adaptation.

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IEEE ACM Trans. Audio Speech Lang. Process., 2018

Online Integration of DNN-Based and Spatial Clustering-Based Mask Estimation for Robust MVDR Beamforming.

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Proceedings of the 16th International Workshop on Acoustic Signal Enhancement, 2018

Comparison of Reference Microphone Selection Algorithms for Distributed Microphone Array Based Speech Enhancement in Meeting Recognition Scenarios.

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Proceedings of the 16th International Workshop on Acoustic Signal Enhancement, 2018

Multi-task Learning with Augmentation Strategy for Acoustic-to-word Attention-based Encoder-decoder Speech Recognition.

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Proceedings of the Interspeech 2018, 2018

Semi-Supervised End-to-End Speech Recognition.

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Proceedings of the Interspeech 2018, 2018

Integrating Neural Network Based Beamforming and Weighted Prediction Error Dereverberation.

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Proceedings of the Interspeech 2018, 2018

Auxiliary Feature Based Adaptation of End-to-end ASR Systems.

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Proceedings of the Interspeech 2018, 2018

Optimization of Speaker-Aware Multichannel Speech Extraction with ASR Criterion.

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Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Rescoring N-Best Speech Recognition List Based on One-on-One Hypothesis Comparison Using Encoder-Classifier Model.

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Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Listening to Each Speaker One by One with Recurrent Selective Hearing Networks.

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Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Sequence Training of Encoder-Decoder Model Using Policy Gradient for End-to-End Speech Recognition.

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Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Single Channel Target Speaker Extraction and Recognition with Speaker Beam.

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Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Meeting Recognition with Asynchronous Distributed Microphone Array Using Block-Wise Refinement of Mask-Based MVDR Beamformer.

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Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Progressive Neural Network-based Knowledge Transfer in Acoustic Models.

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Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2018

Feature-Based Learning Hidden Unit Contributions for Domain Adaptation of RNN-LMs.

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Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2018

Factorised Hidden Layer Based Domain Adaptation for Recurrent Neural Network Language Models.

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Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2018

2017

Online MVDR Beamformer Based on Complex Gaussian Mixture Model With Spatial Prior for Noise Robust ASR.

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IEEE ACM Trans. Audio Speech Lang. Process., 2017

Speaker-Aware Neural Network Based Beamformer for Speaker Extraction in Speech Mixtures.

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Proceedings of the Interspeech 2017, 2017

Uncertainty Decoding with Adaptive Sampling for Noise Robust DNN-Based Acoustic Modeling.

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Proceedings of the Interspeech 2017, 2017

Unfolded Deep Recurrent Convolutional Neural Network with Jump Ahead Connections for Acoustic Modeling.

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Proceedings of the Interspeech 2017, 2017

Improved Example-Based Speech Enhancement by Using Deep Neural Network Acoustic Model for Noise Robust Example Search.

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Proceedings of the Interspeech 2017, 2017

Neural Network-Based Spectrum Estimation for Online WPE Dereverberation.

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Proceedings of the Interspeech 2017, 2017

Forward-Backward Convolutional LSTM for Acoustic Modeling.

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Proceedings of the Interspeech 2017, 2017

Deep Clustering-Based Beamforming for Separation with Unknown Number of Sources.

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Proceedings of the Interspeech 2017, 2017

Feedback connection for deep neural network-based acoustic modeling.

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Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Cumulative moving averaged bottleneck speaker vectors for online speaker adaptation of CNN-based acoustic models.

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Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Deep mixture density network for statistical model-based feature enhancement.

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Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Probabilistic spatial dictionary based online adaptive beamforming for meeting recognition in noisy and reverberant environments.

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Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Online environmental adaptation of CNN-based acoustic models using spatial diffuseness features.

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Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Online meeting recognition in noisy environments with time-frequency mask based MVDR beamforming.

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Proceedings of the Hands-free Speech Communications and Microphone Arrays, 2017

Learning speaker representation for neural network based multichannel speaker extraction.

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Proceedings of the 2017 IEEE Automatic Speech Recognition and Understanding Workshop, 2017

Adversarial training for data-driven speech enhancement without parallel corpus.

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Proceedings of the 2017 IEEE Automatic Speech Recognition and Understanding Workshop, 2017

Meeting recognition with asynchronous distributed microphone array.

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Proceedings of the 2017 IEEE Automatic Speech Recognition and Understanding Workshop, 2017

Exploiting imbalanced textual and acoustic data for training prosodically-enhanced RNNLMs.

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Proceedings of the 2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2017

Toolkits for Robust Speech Processing.

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

Preliminaries.

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

The REVERB Challenge: A Benchmark Task for Reverberation-Robust ASR Techniques.

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

Training Data Augmentation and Data Selection.

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

Multichannel Speech Enhancement Approaches to DNN-Based Far-Field Speech Recognition.

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

2016

A summary of the REVERB challenge: state-of-the-art and remaining challenges in reverberant speech processing research.

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EURASIP J. Adv. Signal Process., 2016

Differenced maximum mutual information criterion for robust unsupervised acoustic model adaptation.

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Comput. Speech Lang., 2016

Data Selection by Sequence Summarizing Neural Network in Mismatch Condition Training.

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Proceedings of the Interspeech 2016, 2016

Factorized Linear Input Network for Acoustic Model Adaptation in Noisy Conditions.

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Proceedings of the Interspeech 2016, 2016

Robust Example Search Using Bottleneck Features for Example-Based Speech Enhancement.

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Proceedings of the Interspeech 2016, 2016

Context Adaptive Neural Network for Rapid Adaptation of Deep CNN Based Acoustic Models.

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Proceedings of the Interspeech 2016, 2016

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

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Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Context adaptive deep neural networks for fast acoustic model adaptation in noisy conditions.

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Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015

Strategies for distant speech recognitionin reverberant environments.

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EURASIP J. Adv. Signal Process., 2015

Robust i-vector extraction for neural network adaptation in noisy environment.

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Proceedings of the INTERSPEECH 2015, 2015

Text-informed speech enhancement with deep neural networks.

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Proceedings of the INTERSPEECH 2015, 2015

WFST-based structural classification integrating dnn acoustic features and RNN language features for speech recognition.

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Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Context adaptive deep neural networks for fast acoustic model adaptation.

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Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Exploring multi-channel features for denoising-autoencoder-based speech enhancement.

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Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

The NTT CHiME-3 system: Advances in speech enhancement and recognition for mobile multi-microphone devices.

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Proceedings of the 2015 IEEE Workshop on Automatic Speech Recognition and Understanding, 2015

2014

Location Feature Integration for Clustering-Based Speech Separation in Distributed Microphone Arrays.

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IEEE ACM Trans. Audio Speech Lang. Process., 2014

Defeating reverberation: Advanced dereverberation and recognition techniques for hands-free speech recognition.

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Proceedings of the 2014 IEEE Global Conference on Signal and Information Processing, 2014

2013

Dominance Based Integration of Spatial and Spectral Features for Speech Enhancement.

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IEEE ACM Trans. Audio Speech Lang. Process., 2013

Cluster-based dynamic variance adaptation for interconnecting speech enhancement pre-processor and speech recognizer.

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Comput. Speech Lang., 2013

Speech recognition in living rooms: Integrated speech enhancement and recognition system based on spatial, spectral and temporal modeling of sounds.

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Comput. Speech Lang., 2013

The reverb challenge: Acommon evaluation framework for dereverberation and recognition of reverberant speech.

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Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2013

Conditional emission densities for combining speech enhancement and recognition systems.

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Proceedings of the INTERSPEECH 2013, 2013

Is speech enhancement pre-processing still relevant when using deep neural networks for acoustic modeling?

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Proceedings of the INTERSPEECH 2013, 2013

Formulation of the REMOS concept from an uncertainty decoding perspective.

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Proceedings of the 18th International Conference on Digital Signal Processing, 2013

Feature space variational Bayesian linear regression and its combination with model space VBLR.

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Proceedings of the IEEE International Conference on Acoustics, 2013

Unsupervised discriminative adaptation using differenced maximum mutual information based linear regression.

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Proceedings of the IEEE International Conference on Acoustics, 2013

2012

Making Machines Understand Us in Reverberant Rooms: Robustness Against Reverberation for Automatic Speech Recognition.

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IEEE Signal Process. Mag., 2012

Noise Power Spectral Density Tracking: A Maximum Likelihood Perspective.

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IEEE Signal Process. Lett., 2012

Distributed microphone array processing for speech source separation with classifier fusion.

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Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012

Dynamic variance adaptation using differenced maximum mutual information.

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Proceedings of the 2012 Symposium on Machine Learning in Speech and Language Processing, 2012

Example-based speech enhancement with joint utilization of spatial, spectral & temporal cues of speech and noise.

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Proceedings of the INTERSPEECH 2012, 2012

LogMax observation model with MFCC-based spectral prior for reduction of highly nonstationary ambient noise.

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Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Discriminative feature transforms using differenced maximum mutual information.

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Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Survey on approaches to speech recognition in reverberant environments.

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Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2012

2011

A Multichannel Feature-Based Processing for Robust Speech Recognition.

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Proceedings of the INTERSPEECH 2011, 2011

Reduction of Highly Nonstationary Ambient Noise by Integrating Spectral and Locational Characteristics of Speech and Noise for Robust ASR.

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Proceedings of the INTERSPEECH 2011, 2011

Single Channel Dereverberation Using Example-Based Speech Enhancement with Uncertainty Decoding Technique.

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Proceedings of the INTERSPEECH 2011, 2011

Variance Compensation for Recognition of Reverberant Speech with Dereverberation Preprocessing.

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Shinji Watanabe

Tomohiro Nakatani

Proceedings of the Robust Speech Recognition of Uncertain or Missing Data, 2011

2010

Inverse Filtering for Speech Dereverberation Without the Use of Room Acoustics Information.

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Proceedings of the Speech Dereverberation., 2010

2009

Suppression of Late Reverberation Effect on Speech Signal Using Long-Term Multiple-step Linear Prediction.

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IEEE Trans. Speech Audio Process., 2009

Static and Dynamic Variance Compensation for Recognition of Reverberant Speech With Dereverberation Preprocessing.

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Tomohiro Nakatani

Shinji Watanabe

IEEE Trans. Speech Audio Process., 2009

2008

Speech Dereverberation Based on Maximum-Likelihood Estimation With Time-Varying Gaussian Source Model.

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IEEE Trans. Speech Audio Process., 2008

Calculating Inverse Filters for Speech Dereverberation.

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Keisuke Kinoshita

IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2008

Missing feature speech recognition in a meeting situation with maximum SNR beamforming.

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Proceedings of the International Symposium on Circuits and Systems (ISCAS 2008), 2008

Combined static and dynamic variance adaptation for efficient interconnection of speech enhancement pre-processor with speech recognizer.

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Tomohiro Nakatani

Shinji Watanabe

Proceedings of the IEEE International Conference on Acoustics, 2008

2007

Dereverberation and Denoising Using Multichannel Linear Prediction.

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IEEE Trans. Speech Audio Process., 2007

Precise Dereverberation Using Multichannel Linear Prediction.

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IEEE Trans. Speech Audio Process., 2007

Inverse Filtering for Speech Dereverberation Less Sensitive to Noise and Room Transfer Function Fluctuations.

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EURASIP J. Adv. Signal Process., 2007

Robust blind dereverberation of speech signals based on characteristics of short-time speech segments.

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Proceedings of the International Symposium on Circuits and Systems (ISCAS 2007), 2007

Multi-step linear prediction based speech dereverberation in noisy reverberant environment.

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Proceedings of the INTERSPEECH 2007, 2007

Study on Speech Dereverberation with Autocorrelation Codebook.

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Proceedings of the IEEE International Conference on Acoustics, 2007

2006

On a Blind Speech Dereverberation Algorithm Using Multi-Channel Linear Prediction.

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IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2006

On the Use of Lime Dereverberation Algorithm in an Acoustic Environment With a Noise Source.

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Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

On robust inverse filter design for room transfer function fluctuations.

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Proceedings of the 14th European Signal Processing Conference, 2006

2005

Improved blind dereverberation performance by using spatial information.

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Proceedings of the INTERSPEECH 2005, 2005

Blind Dereverberation based on Estimates of Signal Transmission Channels without Precise Information of Channel Order.

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Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

2004

Dereverberation of speech signals based on linear prediction.

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