Jon Barker

发表

Mask estimation for missing data speech recognition based on statistics of binaural interaction

Guy J. Brown, Jon Barker, Sue Harding, 2006, IEEE Transactions on Audio, Speech, and Language Processing.

Applying word duration constraints by using unrolled HMMs

Ning Ma, Jon Barker, Phil D. Green, 2007, INTERSPEECH.

Integrating pitch and localisation cues at a speech fragment level

Ning Ma, Jon Barker, Heidi Christensen, 2007, INTERSPEECH.

Automatic Lyric Transcription from Karaoke Vocal Tracks: Resources and a Baseline System

Jon Barker, Gerardo Roa Dabike, J. Barker, 2019, INTERSPEECH.

Recognition of Reverberant Speech using Full Cepstral Features and Spectral Missing Data

Guy J. Brown, Jon Barker, Kalle J. Palomäki, 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

An audio-visual corpus for speech perception and automatic speech recognition.

Jon Barker, Stuart Cunningham, Martin Cooke, 2006, The Journal of the Acoustical Society of America.

Tracking facial markers with an adaptive marker collocation model

Jon Barker, 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..

Acoustic confidence measures for segmenting broadcast news

Jon Barker, Steve Renals, Gethin Williams, 1998, ICSLP.

The effect of cochlear implant processing on speaker intelligibility: a perceptual study and computer model

Guy J. Brown, Jon Barker, Lin Lin, 2015, INTERSPEECH.

Mask estimation based on sound localisation for missing data speech recognition

Guy J. Brown, Jon Barker, Sue Harding, 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..

On End-to-end Multi-channel Time Domain Speech Separation in Reverberant Environments

Jon Barker, Rama Doddipatla, Catalin Zorila, 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

The CHiME Challenges: Robust Speech Recognition in Everyday Environments

Jon Barker, Emmanuel Vincent, Shinji Watanabe, 2017, New Era for Robust Speech Recognition, Exploiting Deep Learning.

Modelling speaker intelligibility in noise

Jon Barker, Martin Cooke, M. Cooke, 2007, Speech Commun..

On the Usefulness of the Speech Phase Spectrum for Pitch Extraction

Jon Barker, Thomas Hain, Erfan Loweimi, 2018, INTERSPEECH.

Source-filter separation of speech signal in the phase domain

Jon Barker, Thomas Hain, Erfan Loweimi, 2015, INTERSPEECH.

Misperceptions Arising from Speech-in-Babble Interactions

Jon Barker, Martin Cooke, Máté Attila Tóth, 2016, INTERSPEECH.

Techniques for handling convolutional distortion with 'missing data' automatic speech recognition

Guy J. Brown, Jon Barker, Kalle J. Palomäki, 2004, Speech Commun..

On the role of discriminative intelligibility model for speech intelligibility enhancement

Jon Barker, Maryam Al Dabel, 2015, ICPhS.

Speaker turn tracking with mobile microphones: Combining location and pitch information

Jon Barker, Heidi Christensen, J. Barker, 2010, 2010 18th European Signal Processing Conference.

Recent advances in fragment-based speech recognition in reverberant multisource environments

Ning Ma, Jon Barker, Heidi Christensen, 2011 .

Chime-home: A dataset for sound source recognition in a domestic environment

Jon Barker, Sacha Krstulovic, Mark D. Plumbley, 2015, 2015 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA).

Source Domain Data Selection for Improved Transfer Learning Targeting Dysarthric Speech Recognition

Jon Barker, Heidi Christensen, Feifei Xiong, 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

The CAVA corpus: synchronised stereoscopic and binaural datasets with head movements

Jon Barker, Heidi Christensen, Radu Horaud, 2008, ICMI '08.

Incorporating localisation cues in a fragment decoding framework for distant binaural speech recognition

Ning Ma, Jon Barker, Heidi Christensen, 2011, 2011 Joint Workshop on Hands-free Speech Communication and Microphone Arrays.

Use of Generalised Nonlinearity in Vector Taylor Series Noise Compensation for Robust Speech Recognition

Jon Barker, Thomas Hain, Erfan Loweimi, 2016, INTERSPEECH.

Audio-visual speech recognition in the presence of a competing speaker

Jon Barker, Xu Shao, 2006, INTERSPEECH.

Investigating the impact of artificial enhancement of lip visibility on the intelligibility of spectrally-distorted speech

Guy J. Brown, Jon Barker, Steve Maddock, 2015, AVSP.

Exploiting synchrony spectra and deep neural networks for noise-robust automatic speech recognition

Guy J. Brown, Ning Ma, Jon Barker, 2015, 2015 IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU).

A comparison of audiovisual and auditory-only training on the perception of spectrally-distorted speech

Guy J. Brown, Jon Barker, Steve Maddock, 2015, ICPhS.

MMSE-Based Missing-Feature Reconstruction With Temporal Modeling for Robust Speech Recognition

Ning Ma, Jon Barker, Ángel M. Gómez, 2013, IEEE Transactions on Audio, Speech, and Language Processing.

Soft harmonic masks for recognising speech in the presence of a competing speaker

Jon Barker, André Coy, J. Barker, 2005, INTERSPEECH.

Special issue on speech separation and recognition in multisource environments

Jon Barker, Emmanuel Vincent, 2013, Comput. Speech Lang..

A multipitch tracker for monaural speech segmentation

Jon Barker, André Coy, 2006, INTERSPEECH.

Exploiting correlogram structure for robust speech recognition with multiple speech sources

Ning Ma, Jon Barker, Phil D. Green, 2007, Speech Commun..

Long-Term Statistical Feature Extraction from Speech Signal and Its Application in Emotion Recognition

Jon Barker, Thomas Hain, Erfan Loweimi, 2015, SLSP.

An automatic speech recognition system based on the scene analysis account of auditory perception

Jon Barker, André Coy, J. Barker, 2007, Speech Commun..

Crowdsourcing for Word Recognition in Noise

Jon Barker, Krzysztof Wasilewski, Martin Cooke, 2011, INTERSPEECH.

Robust automatic transcription of English speech corpora

Jon Barker, Mircea Giurgiu, Ahsanul Kabir, 2010, 2010 8th International Conference on Communications.

Recent advances in speech fragment decoding techniques

Ning Ma, Jon Barker, Martin Cooke, 2006, INTERSPEECH.

Stream weight estimation for multistream audio-visual speech recognition in a multispeaker environment

Jon Barker, Xu Shao, 2008, Speech Commun..

Guest Editorial for the special issue on Multi-Microphone Speech Recognition in Everyday Environments

Jon Barker, Emmanuel Vincent, Ricard Marxer, 2017 .

Decoding speech in the presence of other sound sources

Jon Barker, Daniel P. W. Ellis, Martin Cooke, 2000, INTERSPEECH.

Autoencoder Bottleneck Features with Multi-Task Optimisation for Improved Continuous Dysarthric Speech Recognition

Jon Barker, Heidi Christensen, Zhengjun Yue, 2020, INTERSPEECH.

Combining bottom-up and top-down constraints to achieve robust ASR: The multisource decoder

Jon Barker, Daniel P. W. Ellis, Martin Cooke, 2001 .

Estimation of speech acoustics from visual speech features: A comparison of linear and non-linear models

Jon Barker, Frédéric Berthommier, J. Barker, 1999, AVSP.

LINKING AUDITORY SCENE ANALYSIS AND ROBUST ASR BY MISSING DATA TECHNIQUES

Jon Barker, Martin Cooke, M. Cooke, 2001 .

Robust ASR based on clean speech models: an evaluation of missing data techniques for connected digit recognition in noise

Jon Barker, Phil D. Green, Martin Cooke, 2001, INTERSPEECH.

Exploring the Use of Group Delay for Generalised VTS Based Noise Compensation

Jon Barker, Thomas Hain, Erfan Loweimi, 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Indication of slowly moving ground targets in non-Gaussian clutter using multi-channel synthetic aperture radar

Jon Barker, Brian Barber, 2012, IET Signal Process..

Combining missing-data reconstruction and uncertainty decoding for robust speech recognition

Ning Ma, Jon Barker, Ángel M. Gómez, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

A hearing-inspired approach for distant-microphone speech recognition in the presence of multiple sources

Ning Ma, Jon Barker, Heidi Christensen, 2013, Comput. Speech Lang..

A Data Driven Approach to Audiovisual Speech Mapping

Jon Barker, Amir Hussain, Peter Derleth, 2016, BICS.

Binaural feature selection for missing data speech recognition

Guy J. Brown, Jon Barker, Sue Harding, 2005, INTERSPEECH.

Handling Missing and Unreliable Information in Speech Recognition

Jon Barker, Phil D. Green, Martin Cooke, 2001, AISTATS.

A Missing Data Approach for Robust Automatic Speech Recognition in The Presence of Reverberation

Guy J. Brown, Jon Barker, Kalle J. Palomäki, 2004 .

The second ‘chime’ speech separation and recognition challenge: Datasets, tasks and baselines

Jon Barker, Jonathan Le Roux, Emmanuel Vincent, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Multichannel Spatial Clustering for Robust Far-Field Automatic Speech Recognition in Mismatched Conditions

Jon Barker, Michael I. Mandel, J. Barker, 2016, INTERSPEECH.

A neural oscillator sound separator for missing data speech recognition

Guy J. Brown, Jon Barker, DeLiang Wang, 2001, IJCNN'01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222).

DNN driven Speaker Independent Audio-Visual Mask Estimation for Speech Separation

Jon Barker, Amir Hussain, Ahsan Adeel, 2018, INTERSPEECH.

A Novel Phase-based Feature for Robust Speech Recognition

Jon Barker, Thomas Hain, Erfan Loweimi, 2015 .

Exploring Appropriate Acoustic and Language Modelling Choices for Continuous Dysarthric Speech Recognition

Jon Barker, Heidi Christensen, Feifei Xiong, 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Speech fragment decoding techniques for simultaneous speaker identification and speech recognition

Ning Ma, Jon Barker, Martin Cooke, 2010, Comput. Speech Lang..

Channel Compensation in the Generalised Vector Taylor Series Approach to Robust ASR

Jon Barker, Thomas Hain, Erfan Loweimi, 2017, INTERSPEECH.

The PASCAL CHiME speech separation and recognition challenge

Ning Ma, Jon Barker, Heidi Christensen, 2013, Comput. Speech Lang..

The CHiME corpus: a resource and a challenge for computational hearing in multisource environments

Ning Ma, Jon Barker, Heidi Christensen, 2010, INTERSPEECH.

Spectral Reconstruction and Noise Model Estimation Based on a Masking Model for Noise Robust Speech Recognition

Ning Ma, Jon Barker, Ángel M. Gómez, 2017, Circuits, Systems, and Signal Processing.

The third ‘CHiME’ speech separation and recognition challenge: Dataset, task and baselines

Jon Barker, Emmanuel Vincent, Shinji Watanabe, 2015, 2015 IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU).

Compression of Model-based Group Delay Function for Robust Speech Recognition

Jon Barker, Thomas Hain, Erfan Loweimi, 2014 .

Using location cues to track speaker changes from mobile, binaural microphones

Jon Barker, Heidi Christensen, J. Barker, 2009, INTERSPEECH.

Evidence of correlation between acoustic and visual features of speech

Jon Barker, Frédéric Berthommier, J. Barker, 1999 .

Language Effects in Noise-Induced Word Misperceptions

Jon Barker, Martin Cooke, Ricard Marxer, 2016, INTERSPEECH.

Energetic and Informational Masking Effects in an Audiovisual Speech Recognition System

Jon Barker, Xu Shao, J. Barker, 2009, IEEE Transactions on Audio, Speech, and Language Processing.

Statistical normalisation of phase-based feature representation for robust speech recognition

Jon Barker, Thomas Hain, Erfan Loweimi, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Is Primitive AV Coherence An Aid To Segment The Scene?

Jon Barker, Frédéric Berthommier, Jean-Luc Schwartz, 1998, AVSP.

Overview of the 2nd 'CHiME' Speech Separation and Recognition Challenge

Jon Barker, Jonathan Le Roux, Shinji Watanabe, 2013 .

Emotion Recognition from the Speech Signal by Effective Combination of Generative and Discriminative Models

Jon Barker, Thomas Hain, Erfan Loweimi, 2016 .

Deep Learning of Articulatory-Based Representations and Applications for Improving Dysarthric Speech Recognition

Jon Barker, Heidi Christensen, Feifei Xiong, 2018, ITG Symposium on Speech Communication.

Modelling the recognition of spectrally reduced speech

Jon Barker, Martin Cooke, 1997, EUROSPEECH.

A fragment-decoding plus missing-data imputation ASR system evaluated on the 2nd CHiME Challenge

Jon Barker, Ning Ma, 2013 .

Simulating Realistically-Spatialised Simultaneous Speech Using Video-Driven Speaker Detection and the CHiME-5 Dataset

Jon Barker, Jack Deadman, 2020, INTERSPEECH.

Audio-visual speech fragment decoding

Jon Barker, Xu Shao, J. Barker, 2007, AVSP.

A pitch based noise estimation technique for robust speech recognition with Missing Data

Jon Barker, Ning Ma, José L. Carmona, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

A speech fragment approach to localising multiple speakers in reverberant environments

Ning Ma, Jon Barker, Heidi Christensen, 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

Phonetic Analysis of Dysarthric Speech Tempo and Applications to Robust Personalised Dysarthric Speech Recognition

Jon Barker, Heidi Christensen, Feifei Xiong, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

The third 'CHiME' speech separation and recognition challenge: Analysis and outcomes

Jon Barker, Emmanuel Vincent, Shinji Watanabe, 2017, Comput. Speech Lang..

SDC-Net: Video Prediction Using Spatially-Displaced Convolution pdf

Jon Barker, Bryan Catanzaro, David Tarjan, 2018, ECCV.

ACOUSTICS2008/809 Improving source localisation in multi-source, reverberant conditions: exploiting local spectro-temporal location cues

Ning Ma, Jon Barker, Heidi Christensen, 2008 .

Distant microphone speech recognition in a noisy indoor environment: combining soft missing data and speech fragment decoding

Ning Ma, Jon Barker, Heidi Christensen, 2010, SAPA@INTERSPEECH.

Channel selection using neural network posterior probability for speech recognition with distributed microphone arrays in everyday environments

Jon Barker, Heidi Christensen, Feifei Xiong, 2018 .

The fifth 'CHiME' Speech Separation and Recognition Challenge: Dataset, task and baselines

Jon Barker, Emmanuel Vincent, Shinji Watanabe, 2018, INTERSPEECH.

Robust formant estimation: Increasing the reliability by comparison among three methods

Jon Barker, Mircea Giurgiu, Ahsanul Kabir, 2010 .

Malware Detection by Eating a Whole EXE

Jon Barker, Edward Raff, Bryan Catanzaro, 2017, AAAI Workshops.

Missing data speech recognition in reverberant conditions

Guy J. Brown, Jon Barker, Kalle J. Palomäki, 2002, 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing.

An analysis of environment, microphone and data simulation mismatches in robust speech recognition

Jon Barker, Emmanuel Vincent, Shinji Watanabe, 2017, Comput. Speech Lang..

Is the sine-wave speech cocktail party worth attending?

Jon Barker, Martin Cooke, M. Cooke, 1999, Speech Commun..

Soft decisions in missing data techniques for robust automatic speech recognition

Jon Barker, Phil D. Green, Martin Cooke, 2000, INTERSPEECH.

Speech pre-enhancement using a discriminative microscopic intelligibility model

Jon Barker, Maryam Al Dabel, 2014, INTERSPEECH.

Launching the first “Clarity” Machine Learning Challenge to revolutionise hearing device processing

Jon Barker, Trevor J. Cox, Graham Naylor, 2020 .

Multi-microphone speech recognition in everyday environments

Jon Barker, Shinji Watanabe, Ricard Marxer, 2017, Comput. Speech Lang..

Integrating hidden Markov model and PRAAT: a toolbox for robust automatic speech transcription

Jon Barker, Mircea Giurgiu, Ahsanul Kabir, 2010, Symposium on Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments (WILGA).

Recognising speech in the presence of a competing speaker using a 'speech fragment decoder'

Jon Barker, André Coy, J. Barker, 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..

Binary Mask Estimation Strategies for Constrained Imputation-Based Speech Enhancement

Jon Barker, Ricard Marxer, 2017, INTERSPEECH.

Binaural Cues for Fragment-Based Speech Recognition in Reverberant Multisource Environments

Ning Ma, Jon Barker, Heidi Christensen, 2011, INTERSPEECH.

The second ‘CHiME’ speech separation and recognition challenge: An overview of challenge systems and outcomes

Jon Barker, Jonathan Le Roux, Emmanuel Vincent, 2013, 2013 IEEE Workshop on Automatic Speech Recognition and Understanding.

CHiME-6 Challenge: Tackling Multispeaker Speech Recognition for Unsegmented Recordings pdf

Jon Barker, Shinji Watanabe, Emmanuel Vincent, 2020, 6th International Workshop on Speech Processing in Everyday Environments (CHiME 2020).

Multichannel Spatial Clustering Using Model-Based Source Separation

Jon Barker, Michael I. Mandel, 2017, New Era for Robust Speech Recognition, Exploiting Deep Learning.

Missing-Data Techniques: Recognition with Incomplete Spectrograms

Jon Barker, J. Barker, 2012, Techniques for Noise Robustness in Automatic Speech Recognition.

The impact of the Lombard effect on audio and visual speech recognition systems

Jon Barker, Ricard Marxer, Steve Maddock, 2018, Speech Commun..

The impact of automatic exaggeration of the visual articulatory features of a talker on the intelligibility of spectrally distorted speech

Guy J. Brown, Jon Barker, Steve Maddock, 2017, Speech Commun..

Speech Separation Based on The Statistics of Binaural Auditory Features

Guy J. Brown, Jon Barker, Sue Harding, 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

Coupling identification and reconstruction of missing features for noise-robust automatic speech recognition

Ning Ma, Jon Barker, Ning Ma, 2012, INTERSPEECH.

Speech Spectral Envelope Enhancement by HMM-Based Analysis/Resynthesis

Ning Ma, Jon Barker, Ángel M. Gómez, 2013, IEEE Signal Processing Letters.

Data compression techniques in image compression for multimedia systems

Jon Barker, V. Rajaravivarma, E. Lord, 1996, Southcon/96 Conference Record.

A framework for the evaluation of microscopic intelligibility models

Jon Barker, Martin Cooke, Ricard Marxer, 2015, INTERSPEECH.

Teacher-Student MixIT for Unsupervised and Semi-supervised Speech Separation pdf

Jon Barker, Rama Doddipatla, Catalin Zorila, 2021, Interspeech.

Parental Spoken Scaffolding and Narrative Skills in Crowd-Sourced Storytelling Samples of Young Children

Jon Barker, Heidi Christensen, Yvonne Wren, 2021, Interspeech.

DHASP: Differentiable Hearing Aid Speech Processing

Ning Ma, Jon Barker, Zehai Tu, 2021, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

The use of Voice Source Features for Sung Speech Recognition

Jon Barker, Gerardo Roa Dabike, J. Barker, 2021, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Optimising Hearing Aid Fittings for Speech in Noise with a Differentiable Hearing Loss Model pdf

Ning Ma, Jon Barker, Zehai Tu, 2021, Interspeech.

Clarity-2021 Challenges: Machine Learning Challenges for Advancing Hearing Aid Processing

Jon Barker, Graham Naylor, Trevor J. Cox, 2021, Interspeech.

Time-Domain Speech Extraction with Spatial Information and Multi Speaker Conditioning Mechanism

Jon Barker, Rama Doddipatla, Catalin Zorila, 2021, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

1 Crowdsourcing in Speech Perception

Jon Barker, Martin Cooke, Maria Luisa Garcia Lecumberri, 2012 .

The foreign language cocktail party problem: Energetic and informational masking effects in non-native speech perception.

Jon Barker, Martin Cooke, M. Cooke, 2008, The Journal of the Acoustical Society of America.

A corpus of noise-induced word misperceptions for English.

Jon Barker, Martin Cooke, Ricard Marxer, 2016, The Journal of the Acoustical Society of America.

Temporal integration as a consequence of multi-source decoding

Jon Barker, Martin Cooke, Dan Ellis, 2002 .

6. An Overview

Jon Barker, J. Barker, M. Cooke, 2013 .