Professor Jon Barker

Journal articles

• Akeroyd MA, Barker JP, Cox TJ, Culling J, Graetzer S, Naylor G, Porter E & Viveros Muñoz R (2020) Launching the first “Clarity” Machine Learning Challenge to revolutionise hearing device processing. The Journal of the Acoustical Society of America, 148(4), 2711-2711.
• Cooke M, García Lecumberri ML, Barker J & Marxer R (2019) Lexical frequency effects in English and Spanish word misperceptions.. The Journal of the Acoustical Society of America, 145(2), EL136-EL141. View this article in WRRO
• Alghamdi N, Maddock S, Marxer R, Barker J & Brown GJ (2018) A corpus of audio-visual Lombard speech with frontal and profile views. Journal of the Acoustical Society of America, 143(6), 523-529. View this article in WRRO
• Marxer R, Barker JP, Alghamdi N & Maddock S (2018) The impact of the Lombard effect on audio and visual speech recognition systems. Speech Communication, 100, 58-68. View this article in WRRO
• Alghamdi N, Maddock S, Barker J & Brown GJ (2017) The impact of automatic exaggeration of the visual articulatory features of a talker on the intelligibility of spectrally distorted speech. Speech Communication, 95, 127-136. View this article in WRRO
• Vincent E, Watanabe S, Nugraha AA, Barker J & Marxer R (2017) An analysis of environment, microphone and data simulation mismatches in robust speech recognition. Computer Speech & Language, 46, 535-557. View this article in WRRO
• Barker J, Marxer R, Vincent E & Watanabe S (2017) The third ‘CHiME’ speech separation and recognition challenge: Analysis and outcomes. Computer Speech and Language, 46, 605-626. View this article in WRRO
• Barker J, Marxer R, Vincent E & Watanabe S (2017) Guest Editorial for the special issue on Multi-Microphone Speech Recognition in Everyday Environments. Computer Speech & Language. View this article in WRRO
• Gonzalez JA, Gómez AM, Peinado AM, Ma N & Barker J (2017) Spectral Reconstruction and Noise Model Estimation Based on a Masking Model for Noise Robust Speech Recognition. Circuits, Systems, and Signal Processing. View this article in WRRO
• Marxer R, Barker J, Cooke M & Garcia Lecumberri ML (2016) A corpus of noise-induced word misperceptions for English.. Journal of the Acoustical Society of America, 140(5), EL458-EL463. View this article in WRRO
• Cooke M, Barker J & Lecumber MLG (2013) An Overview, 137-172.
• Vincent E, Barker J, Watanabe S, Le Roux J, Nesta F & Matassoni M (2013) The second 'CHiME' speech separation and recognition challenge: An overview of challenge systems and outcomes. 2013 IEEE Workshop on Automatic Speech Recognition and Understanding, ASRU 2013 - Proceedings, 162-167.
• González JA, Peinado AM, Ma N, Gómez AM & Barker J (2013) MMSE-based missing-feature reconstruction with temporal modeling for robust speech recognition. IEEE Transactions on Audio, Speech and Language Processing, 21(3), 624-635.
• Carmona JL, Barker J, Gomez AM & Ma N (2013) Speech spectral envelope enhancement by HMM-based analysis/resynthesis. IEEE Signal Processing Letters, 20(6), 563-566.
• Ma N, Barker J, Christensen H & Green P (2012) A hearing-inspired approach for distant-microphone speech recognition in the presence of multiple sources. Computer Speech and Language.
• Barker J & Vincent E (2012) Special issue on speech separation and recognition in multisource environments. Computer Speech and Language.
• Barker J, Vincent E, Ma N, Christensen H & Green P (2012) The PASCAL CHiME speech separation and recognition challenge. Computer Speech and Language.
• Ma N, Barker J, Christensen H & Green P (2012) Combining speech fragment decoding and adaptive noise floor modelling.. IEEE Transactions on Audio, Speech and Language Processing, 20, 818-827.
• Cooke M, Barker J, Lecumberri MLG & Wasilewski K (2011) Crowdsourcing for word recognition in noise. Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, 3049-3052.
• Barker J, Ma N, Coy A & Cooke M (2010) Speech fragment decoding techniques for simultaneous speaker identification and speech recognition. COMPUT SPEECH LANG, 24(1), 94-111.
• Barker J & Shao X (2009) Energetic and Informational Masking Effects in an Audiovisual Speech Recognition System. IEEE T AUDIO SPEECH, 17(3), 446-458.
• Shao X & Barker J (2008) Stream weight estimation for multistream audio-visual speech recognition in a multispeaker environment. SPEECH COMMUN, 50(4), 337-353.
• Christensen H, Ma N, Wrigley SN & Barker J (2008) Improving source localisation in multi-source, reverberant conditions: exploiting local spectro-temporal location cues.. Abstract for Acoust. Soc. Am. mtg.
• Cooke M, Garcia Lecumberri ML & Barker J (2008) The foreign language cocktail party problem: Energetic and informational masking effects in non-native speech perception.. J Acoust Soc Am, 123(1), 414-427.
• Ma N, Green P, Barker J & Coy A (2007) Exploiting correlogram structure for robust speech recognition with multiple speech sources. SPEECH COMMUN, 49(12), 874-891. View this article in WRRO
• Barker J & Cooke M (2007) Modelling speaker intelligibility in noise. SPEECH COMMUN, 49(5), 402-417.
• Coy A & Barker J (2007) An automatic speech recognition system based on the scene analysis account of auditory perception. SPEECH COMMUN, 49(5), 384-401.
• Cooke M, Barker J, Cunningham S & Shao X (2006) An audio-visual corpus for speech perception and automatic speech recognition.. J Acoust Soc Am, 120(5 Pt 1), 2421-2424.
• Harding S, Barker J & Brown GJ (2006) Mask estimation for missing data speech recognition based on statistics of binaural interaction. IEEE T AUDIO SPEECH, 14(1), 58-67.
• Barker JP, Cooke MP & Ellis DPW (2005) Decoding speech in the presence of other sources. Speech Communication, 45, 5-25.
• Barker JP, Cooke MP & Ellis DPW (2005) Decoding speech in the presence of other sources. SPEECH COMMUN, 45(1), 5-25.
• Palomaki KJ, Brown GJ & Barker JP (2004) Techniques for handling convolutional distortion with 'missing data' automatic speech recognition. SPEECH COMMUN, 43(1-2), 123-142.
• Barker J & Cooke M (1999) Is the sine-wave speech cocktail party worth attending?. Speech Communication, 27, 159-174.
• Barker J & Cooke M (1999) Is the sine-wave speech cocktail party worth attending?. SPEECH COMMUNICATION, 27(3-4), 159-174.
• Barker J & Cooke M (1997) Modelling the recognition of sine-wave sentences. BRITISH JOURNAL OF AUDIOLOGY, 31(2), 112-113.
• Barker JP & Cooke MP (1996) Modeling the recognition of sine-wave sentences. Journal of the Acoustical Society of America, 100, 2682-2682.

Chapters

• Barker JP, Marxer R, Vincent E & Watanabe S (2017) The CHiME Challenges: Robust Speech Recognition in Everyday Environments, New Era for Robust Speech Recognition (pp. 327-344). Springer International Publishing
• Mandel MI & Barker JP (2017) Multichannel Spatial Clustering Using Model-Based Source Separation, New Era for Robust Speech Recognition (pp. 51-77). Springer International Publishing
• Cooke M, Barker J & Lecumberri MLG (2013) Crowdsourcing in Speech Perception In Eskanazi M, Levow G-A, Meng H, Parent G & Sundermann D (Ed.), Crowdsourcing for Speech Processing (pp. 137-169). John Wiley and Sons
• Barker J (2012) Missing Data Techniques: Recognition with Incomplete Spectrograms In Virtanen T, Singh R & Raj B (Ed.), Techniques for Noise Robustness in Automatic Speech Recognition (pp. 371-398). Wiley
• Barker J (2006) Robust automatic speech recognition In Wang D-L & Brown GJ (Ed.), Computational Auditory Scene Analysis: Principals, Algorithms and Applications (pp. 297-350). Wiley/IEEE Press

Conference proceedings papers

• Zhang J, Zorila C, Doddipatla R & Barker J (2020) On End-to-end Multi-channel Time Domain Speech Separation in Reverberant Environments. ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 4 May 2020 - 8 May 2020.
• Xiong F, Barker J & Christensen H (2020) Deep learning of articulatory-based representations and applications for improving dysarthric speech recognition. Speech Communication - 13th ITG-Fachtagung Sprachkommunikation (pp 331-335)
• Xiong F, Barker J, Yue Z & Christensen H (2020) Source Domain Data Selection for Improved Transfer Learning Targeting Dysarthric Speech Recognition. ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 4 May 2020 - 8 May 2020. View this article in WRRO
• Yue Z, Xiong F, Christensen H & Barker J (2020) Exploring Appropriate Acoustic and Language Modelling Choices for Continuous Dysarthric Speech Recognition. ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 4 May 2020 - 8 May 2020. View this article in WRRO
• Xiong F, Barker J & Christensen H (2019) Phonetic Analysis of Dysarthric Speech Tempo and Applications to Robust Personalised Dysarthric Speech Recognition. ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 12 May 2019 - 17 May 2019.
• Loweimi E, Barker JP & Hain T (2018) Exploring the use of group delay for generalised VTS based noise compensation. 2018 IEEE International Conference on Acoustics, Speech and Signal Processing Proceedings, 15 April 2018 - 20 April 2018. View this article in WRRO
• Loweimi E, Barker , Saz Torralba O & Hain (2017) Robust Source-Filter Separation of Speech Signal in the Phase Domain. Proceedings of the Annual Conference of the International Speech Communication Association View this article in WRRO
• Loweimi E, Barker J & Hain T (2017) Statistical normalisation of phase-based feature representation for robust speech recognition. 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 5 March 2017 - 9 March 2017. View this article in WRRO
• Abel A, Marxer R, Barker J, Watt R, Whitmer B, Derleth P & Hussain A (2016) A Data Driven Approach to Audiovisual Speech Mapping (pp 331-342)
• Loweimi E, Barker J & Hain T (2015) Source-filter separation of speech signal in the phase domain. Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, Vol. 2015-January (pp 598-602) View this article in WRRO
• Ma N, Marxer R, Barker J & Brown GJ (2015) Exploiting synchrony spectra and deep neural networks for noise-robust automatic speech recognition. 2015 IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU), 13 December 2015 - 17 December 2015. View this article in WRRO
• Foster P, Sigtia S, Krstulovic S, Barker J & Plumbley MD (2015) Chime-home: A dataset for sound source recognition in a domestic environment. 2015 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), 18 October 2015 - 21 October 2015.
• Alghamdi N, Maddock SC, Brown GJ & Barker J (2015) Investigating the Impact of Artificial Enhancement of Lip Visibility on the Intelligibility of Spectrally-Distorted Speech. FAAVSP-2015 (pp 93-98), 11 September 2015 - 13 September 2015.
• Barker J, Marxer R, Vincent E & Watanabe S (2015) The third ‘CHiME’ speech separation and recognition challenge: Dataset, task and baselines. 2015 IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU), 13 December 2015 - 17 December 2015.
• Marxer R, Cooke M & Barker J (2015) A framework for the evaluation of microscopic intelligibility models. Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, Vol. 2015-January (pp 2558-2562)
• Lin L, Barker J & Brown GJ (2015) The effect of cochlear implant processing on speaker intelligibility: A perceptual study and computer model. Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, Vol. 2015-January (pp 1566-1570)
• Loweimi E, Doulaty M, Barker J & Hain T (2015) Long-Term Statistical Feature Extraction from Speech Signal and Its Application in Emotion Recognition (pp 173-184)
• Al Dabel M & Barker J (2014) Speech pre-enhancement using a discriminative microscopic intelligibility model. Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH (pp 2068-2072)
• Ma N & Barker J (2013) A fragment-decoding plus missing-data imputation system evaluated on the 2nd CHiME challenge. Proceedings of the 2nd CHiME Workshop on Machine Listening in Multisource Environments (pp 53-58)
• Vincent E, Barker J, Watanabe S, Roux JL, Nesta F & Matassoni M (2013) The second ‘CHiME’ Speech Separation and Recognition Challenge: Datasets, tasks and baselines. Proceedings of the 2013 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE
• Ma N & Barker J (2012) Coupling identification and reconstruction of missing features for noise-robust automatic speech recognition. 13th Annual Conference of the International Speech Communication Association 2012, INTERSPEECH 2012, Vol. 3 (pp 2637-2640)
• González JA, Peinado AM, Gómez AM, Ma N & Barker J (2012) Combining missing-data reconstruction and uncertainty decoding for robust speech recognition. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings (pp 4693-4696)
• Ma N, Barker J, Christensen H & Green P (2011) Recent advances in fragment-based speech recognition in reverberant multisource environments.. Proceedings of ISCA Workshop on Machine Listening in Multisource Environments (pp 68-73)
• Ma N, Barker J, Christensen H & Green P (2011) Binaural cues for fragment-based speech recognition in reverberant multisource environments. Proceedings of INTERSPEECH 2011 (pp 1657-1660)
• Ma N, Barker J, Christensen H & Green P (2011) Incorporating localisation cues in a fragment decoding framework for distant binaural speech recognition.. IEEE Joint Workshop on Hands-Free Speech Communication and Microphone Arrays (HSCMA’11) (pp 207-212)
• Cooke M, Barker J, Garcia Lecumberri ML, Wasilewski K & Assoc ISC (2011) Crowdsourcing for word recognition in noise. 12TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION 2011 (INTERSPEECH 2011), VOLS 1-5 (pp 3056-+)
• Ma N, Barker J, Christensen H & Green P (2011) Binaural cues for fragment-based speech recognition in reverberant multisource environments. Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH (pp 1657-1660)
• Morales-Cordovilla JA, Ma N, Sánchez V, Carmona JL, Peinado AM & Barker J (2011) A pitch based noise estimation technique for robust speech recognition with missing data. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings (pp 4808-4811)
• Ma N, Barker J, Christensen H & Green P (2010) Distant microphone speech recognition in a noisy indoor environment: combining soft missing data and speech fragment decoding.. ISCA Tutorial and Research Workshop on Statistical And Perceptual Audition
• Kabir A, Barker J & Giurgiu M (2010) Robust Formant Estimation: Increasing the Reliability by Comparison among three Methods. Proceedings of the International Conference on Circuits, Systems and Signals, (Recent Advances in Circuits, Sistems and Signals) (pp 341-344)
• Kabir A, Barker J & Giurgiu M (2010) An Approach to Vocal Tract Length Normalization by Robust Formant Estimation. Proceedings of the International Conference on Circuits, Systems and Signals, (Recent Advances in Circuits, Sistems and Signals) (pp 345-348)
• Christensen H & Barker J (2010) Speaker turn tracking with mobile microphones: Combining location and pitch information. European Signal Processing Conference (pp 954-958)
• Kabir A, Giurgiu M & Barker J (2010) Robust automatic transcription of english speech corpora. 2010 8th International Conference on Communications, COMM 2010 (pp 79-82)
• Christensen H, Barker J, Ma N & Green P (2010) The CHiME corpus: A resource and a challenge for computational hearing in multisource environments. Proceedings of the 11th Annual Conference of the International Speech Communication Association, INTERSPEECH 2010 (pp 1918-1921)
• Kabir A, Barker J & Giurgiu M (2010) Integrating Hidden Markov Model and PRAAT: A toolbox for robust automatic speech transcription. Proceedings of SPIE - The International Society for Optical Engineering, Vol. 7745
• Christensen H & Barker J (2009) Using location cues to track speaker changes from mobile, binaural microphones. INTERSPEECH 2009: 10TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION 2009, VOLS 1-5 (pp 124-127)
• Christensen H, Ma N, Wrigley SN & Barker J (2009) A SPEECH FRAGMENT APPROACH TO LOCALISING MULTIPLE SPEAKERS IN REVERBERANT ENVIRONMENTS. 2009 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS 1- 8, PROCEEDINGS (pp 4593-4596)
• Arnaud E, Christensen H, Lu Y-C, Barker J, Khalidov V, Hansard ME, Holveck B, Mathieu H, Narasimha R, Taillant E , Forbes F et al (2008) The CAVA corpus: synchronised stereoscopic and binaural datasets with head movements.. ICMI (pp 109-116)
• Barker J & Shao X (2007) Audio-visual speech fragment decoding. Proceedings of the International Conference on Auditory-Visual Speech Processing (AVSP 2007)
• Ma N, Barker J & Green P (2007) Applying word duration constraints by using unrolled HMMs. INTERSPEECH 2007: 8TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION, VOLS 1-4 (pp 353-356)
• Christensen H, Ma N, Wrigley SN & Barker J (2007) Integrating pitch and localisation cues at a speech fragment level. INTERSPEECH 2007: 8TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION, VOLS 1-4 (pp 2752-2755)
• Brown GJ, Harding S & Barker JP (2006) Speech separation based on the statistics of binaural auditory features. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, Vol. 5
• Palomäki KJ, Brown GJ & Barker JP (2006) Recognition of reverberant speech using full cepstral features and spectral missing data. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, Vol. 1
• Shao X & Barker J (2006) Audio-Visual Speech Recognition in the Presence of a Competing Speaker. INTERSPEECH 2006 AND 9TH INTERNATIONAL CONFERENCE ON SPOKEN LANGUAGE PROCESSING, VOLS 1-5 (pp 1292-1295)
• Coy A & Barker J (2006) A Multipitch Tracker for Monaural Speech Segmentation. INTERSPEECH 2006 AND 9TH INTERNATIONAL CONFERENCE ON SPOKEN LANGUAGE PROCESSING, VOLS 1-5 (pp 1678-1681)
• Barker J, Coy A, Ma N & Cooke M (2006) Recent advances in speech fragment decoding techniques. INTERSPEECH 2006 AND 9TH INTERNATIONAL CONFERENCE ON SPOKEN LANGUAGE PROCESSING, VOLS 1-5 (pp 85-88)
• Palomaki KJ, Brown GJ & Barker JP (2006) Recognition of reverberant speech using full cepstral features and spectral missing data. 2006 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING, VOLS 1-13 (pp 289-292)
• Brown GJ, Harding S & Barker JP (2006) Speech separation based on the statistics of binaural auditory features. 2006 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING, VOLS 1-13 (pp 5807-5810)
• Palomaki KJ, Brown GJ & Barker JP (2006) Recognition of reverberant speech using full cepstral features and spectral missing data. 2006 IEEE International Conference on Acoustics, Speech, and Signal Processing, Vol I, Proceedings (pp 289-292). Toulouse, FRANCE, 14 May 2006 - 19 May 2006.
• Brown GJ, Harding S & Barker JP (2006) Speech separation based on the statistics of binaural auditory features. 2006 IEEE International Conference on Acoustics, Speech, and Signal Processing, Vol V, Proceedings (pp 949-952)
• Coy A & Barker J (2005) Soft harmonic masks for recognising speech in the presence of a competing speaker. 9th European Conference on Speech Communication and Technology (pp 2641-2644)
• Harding S, Barker J & Brown GJ (2005) Binaural feature selection for missing data speech recognition. 9th European Conference on Speech Communication and Technology (pp 1269-1272)
• Coy A & Barker J (2005) Recognising speech in the presence of a competing speaker using a 'speech fragment decoder'. 2005 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS 1-5 (pp 425-428)
• Barker J (2005) Tracking facial markers with an adaptive marker collocation model. 2005 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS 1-5 (pp 665-668)
• Harding S, Barker J & Brown GJ (2005) Mask estimation based on sound localisation for missing data speech recognition. 2005 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS 1-5 (pp 537-540)
• Brown GJ, Kalle Palomäki K & Barker J (2004) A Missing Data Approach for Robust Automatic Speech Recognition in the Presence of Reverberation. Proceedings of the 18th International Congress on Acoustics (ICA) (pp 449-452)
• Barker J, Cooke M & Ellis D (2002) Temporal integration as a consequence of multi-source decoding. Proceedings of the ISCA Workshop on the Temporal Integration in the Perception of Speech (TIPS)
• Palomäki KJ, Brown GJ & Barker J (2002) Missing data speech recognition in reverberant conditions. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, Vol. 1
• Palomaki KJ, Brown GJ & Barker J (2002) Missing data speech recognition in reverberant conditions. 2002 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS I-IV, PROCEEDINGS (pp 65-68)
• Barker J, Cooke M & Ellis D (2001) Combining bottom-up and top-down constraints for robust ASR: The multisource decoder. Proceedings of Workshop on consistent and reliable acoustic cues for sound analysis (CRAC-01)
• Morris AC, Barker J & Bourlard H (2001) From Missing Data to Maybe Useful Data: Soft Data Modelling for Noise Robust ASR. Proceedings of the Worshop on Innovation in Speech Processing (WISP 2001)
• Green P, Barker J, Cooke M & Josifovski L (2001) Handling Missing and Unreliable Information in Speech Recognition. Proceedings of the 8th International Workshop on Artificial Intelligence and Statistics (AISTATS-2001)
• Barker J, Green P & Cooke M (2001) Linking Auditory Scene Analysis and Robust ASR by Missing Data Techniques. Proceedings of the Worshop on Innovation in Speech Processing (WISP 2001)
• Barker J, Cooke M & Green PD (2001) Robust ASR based on clean speech models: an evaluation of missing data techniques for connected digit recognition in noise.. INTERSPEECH (pp 213-217)
• Brown GJ, Barker J & Wang DL (2001) A neural oscillator sound separator for missing data speech recognition. Proceedings of the International Joint Conference on Neural Networks, Vol. 4 (pp 2907-2912)
• Brown GJ, Barker J & Wang DL (2001) A neural oscillator sound separator for missing data speech recognition. IJCNN'01: INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1-4, PROCEEDINGS (pp 2907-2912)
• Barker J, Josifovski L, Cooke M & Green PD (2000) Soft decisions in missing data techniques for robust automatic speech recognition.. INTERSPEECH (pp 373-376)
• Barker J, Cooke M & Ellis DPW (2000) Decoding speech in the presence of other sound sources.. INTERSPEECH (pp 270-273)
• Barker JP & Berthommier F (1999) Evidence of correlation between acoustic and visual features of speech. Proc. ICPhS ’99
• Barker JP & Berthommier F (1999) Estimation of speech acoustics from visual speech features: A comparison of linear and non-linear models. Proceedings of the ISCA Workshop on Auditory-Visual Speech Processing (AVSP) ’99
• Barker JP, Berthommier F & Schwartz JL (1998) Is primitive AV coherence an aid to segment the scene?. Proceedings of the ISCA Workshop on Auditory-Visual Speech Processing (AVSP) ’98
• Barker J, Williams G & Renals S (1998) Acoustic confidence measures for segmenting broadcast news.. ICSLP
• Barker J & Cooke M (1997) Modelling the recognition of spectrally reduced speech.. EUROSPEECH
• Deadman J & Barker J () Simulating Realistically-Spatialised Simultaneous Speech Using Video-Driven Speaker Detection and the CHiME-5 Dataset. Interspeech 2020
• Dabike GR & Barker J () Automatic Lyric Transcription from Karaoke Vocal Tracks: Resources and a Baseline System. Interspeech 2019
• Barker J, Watanabe S, Vincent E & Trmal J () The Fifth 'CHiME' Speech Separation and Recognition Challenge: Dataset, Task and Baselines. Interspeech 2018
• Gogate M, Adeel A, Marxer R, Barker J & Hussain A () DNN Driven Speaker Independent Audio-Visual Mask Estimation for Speech Separation. Interspeech 2018
• Loweimi E, Barker J & Hain T () On the Usefulness of the Speech Phase Spectrum for Pitch Extraction. Interspeech 2018 View this article in WRRO
• Loweimi E, Barker J & Hain T () Channel Compensation in the Generalised Vector Taylor Series Approach to Robust ASR. Interspeech 2017 View this article in WRRO
• Marxer R & Barker J () Binary Mask Estimation Strategies for Constrained Imputation-Based Speech Enhancement. Interspeech 2017
• Loweimi E, Barker J & Hain T () Use of Generalised Nonlinearity in Vector Taylor Series Noise Compensation for Robust Speech Recognition. Interspeech 2016 View this article in WRRO
• Mandel MI & Barker J () Multichannel Spatial Clustering for Robust Far-Field Automatic Speech Recognition in Mismatched Conditions. Interspeech 2016
• Lecumberri MLG, Barker J, Marxer R & Cooke M () Language Effects in Noise-Induced Word Misperceptions. Interspeech 2016
• Tóth AM, Cooke M & Barker J () Misperceptions Arising from Speech-in-Babble Interactions. Interspeech 2016
• Rajaravivarma V, Lord E & Barker J () Data compression techniques in image compression for multimedia systems. Southcon/96 Conference Record
• Yue Z, Christensen H & Barker J () Autoencoder bottleneck features with multi-task optimisation for improved continuous dysarthric speech recognition. Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH View this article in WRRO
• Barker J & Coy A () Towards Solving the Cocktail Party Problem through Primitive Grouping and Model Combination. Proceedings of Forum Acusticum

Posters

• Alghamdi N, Maddock S, Brown GJ & Barker J (2015) A comparison of audiovisual and auditory-only training on the perception of spectrally-distorted speech. 18th International Congress of Phonetic Sciences.

Theses / Dissertations

• Barker J (1998) The relationship between auditory organisation and speech perception: Studies with spectrally reduced speech.

Other

• Christensen H, Barker J, Lu Y-C, Xavier J, Caseiro R & Araújo H (2009) POPeye: Real-time, binaural sound source localisation on an audio-visual robot-head.
• Christensen H & Barker J (2009) Simultaneous Tracking of Perceiver Movements and Speaker Changes Using Head-Centered, Binaural Data.