Dr Ning Ma

Journal articles

• Romero HE, Ma N, Brown G & Hill EA (2022) Acoustic screening for obstructive sleep apnea in home environments based on deep neural networks. IEEE Journal of Biomedical and Health Informatics. View this article in WRRO
• Ma N, Gonzalez J & Brown GJ (2018) Robust Binaural Localization of a Target Sound Source by Combining Spectral Source Models and Deep Neural Networks. IEEE/ACM Transactions on Audio, Speech and Language Processing, 26(11), 2122-2131. View this article in WRRO
• Ma N, May T & Brown GJ (2017) Exploiting Deep Neural Networks and Head Movements for Robust Binaural Localization of Multiple Sources in Reverberant Environments. IEEE Transactions on Audio, Speech, and Language Processing, 25(12), 2444-2453. 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
• Ma N, Morris S & Kitterick PT (2016) Benefits to Speech Perception in Noise From the Binaural Integration of Electric and Acoustic Signals in Simulated Unilateral Deafness. Ear and Hearing, 37(3), 248-259. View this article in WRRO
• 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.
• 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.
• 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, 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.
• 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.
• Christensen H, Ma N, Wrigley SN & Barker J (2008) Improving source localisation in multi‐source, reverberant conditions: exploiting local spectro‐temporal location cues. The Journal of the Acoustical Society of America, 123(5), 3294-3294.
• 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

Conference proceedings papers

• Tu Z, Deadman J, Ma N & Barker J (2022) Auditory-Based Data Augmentation for end-to-end Automatic Speech Recognition. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 23 May 2022 - 27 May 2022.
• Barker E, Barker J, Gaizauskas R, Ma N & Paramita ML (2022) SNuC: The Sheffield Numbers Spoken Language Corpus. 2022 Language Resources and Evaluation Conference, LREC 2022 (pp 1978-1984)
• Örnolfsson I, Dau T, Ma N & May T (2021) Exploiting Non-Negative Matrix Factorization for Binaural Sound Localization in the Presence of Directional Interference, Vol. 00 (pp 221-225)
• Tu Z, Ma N & Barker J (2021) DHASP: Differentiable Hearing Aid Speech Processing, Vol. 00 (pp 296-300)
• Ma N, Brown GJ & Vecchiotti P (2021) AMI – Creating musical compositions with a coherent long-term structure. AISB Convention 2021: Communication and Conversations
• Ma N, Brown GJ & Vecchiotti P (2021) AMI – Creating Coherent Musical Composition with Attention. ICMC 2021 - Proceedings of the International Computer Music Conference 2021 (pp 414-418)
• Romero HE, Ma N, Hill EA & Brown GJ (2020) 0573 Screening for obstructive sleep apnea at home based on deep learning features derived from respiration sounds. Sleep, Vol. 43(Supplement_1) (pp a219-a220). Philadelphia, PA, USA (online conference), 27 August 2020 - 30 August 2020. View this article in WRRO
• Romero HE, Ma N & Brown GJ (2020) Snorer diarisation based on deep neural network embeddings. ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Barcelona, Spain, 4 May 2020 - 8 May 2020. View this article in WRRO
• Romero H, Ma N, Brown G, Beeston A & Hasan M (2019) Deep learning features for robust detection of acoustic events in sleep-disordered breathing. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP-2019). Brighton, UK, 12 May 2019 - 17 May 2019. View this article in WRRO
• Vecchiotti P, Ma N, Squartini S & Brown G (2019) End-to-end binaural sound localisation from the raw waveform. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP-2019). Brighton, UK, 12 May 2019 - 17 May 2019. View this article in WRRO
• Romero HE, Ma N, Brown GJ, Beeston AV & Hasan M (2019) Deep Learning Features for Robust Detection of Acoustic Events in Sleep-disordered Breathing.. ICASSP (pp 810-814)
• Meutzner H, Ma N, Nickel R, Schymura C & Kolossa D (2017) Improving audio-visual speech recognition using deep neural networks with dynamic stream reliability estimates. 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 5 March 2017 - 9 March 2017. View this article in WRRO
• Guo Y, Wang X, Wu C, Fu Q, Ma N & Brown G (2016) A robust dual-microphone speech source localization algorithm for reverberant environments. Proceedings of INTERSPEECH 2016 View this article in WRRO
• Zeiler S, Nicheli R, Ma N, Brown GJ & Kolossa D (2016) Robust audiovisual speech recognition using noise-adaptive linear discriminant analysis. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, Vol. 2016-May (pp 2797-2801) 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
• Ma N, Brown GJ & Gonzalez JA (2015) Exploiting top-down source models to improve binaural localisation of multiple sources in reverberant environments. Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, Vol. 2015-January (pp 160-164) View this article in WRRO
• Ma N, Brown G & May T (2015) Exploiting deep neural networks and head movements for binaural localisation of multiple speakers in reverberant conditions. Proceedings of Interspeech 2015 (pp 160-164). Dresden, Germany, 6 September 2015 - 10 September 2015. View this article in WRRO
• May T, Ma N & Brown GJ (2015) Robust localisation of multiple speakers exploiting head movements and multi-conditional training of binaural cues. 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Brisbane, 19 April 2015 - 24 April 2015. View this article in WRRO
• Ma N, May T, Wierstorf H & Brown GJ (2015) A machine-hearing system exploiting head movements for binaural sound localisation in reverberant conditions. 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 19 April 2015 - 24 April 2015. View this article in WRRO
• Ma N, May T, Wierstorf H, Brown GJ & IEEE (2015) A MACHINE-HEARING SYSTEM EXPLOITING HEAD MOVEMENTS FOR BINAURAL SOUND LOCALISATION IN REVERBERANT CONDITIONS. 2015 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING (ICASSP) (pp 2699-2703)
• May T, Ma N, Brown GJ & IEEE (2015) ROBUST LOCALISATION OF MULTIPLE SPEAKERS EXPLOITING HEAD MOVEMENTS AND MULTI-CONDITIONAL TRAINING OF BINAURAL CUES. 2015 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING (ICASSP) (pp 2679-2683)
• Schymura C, Walther T, Kolossa D, Ma N & Brown GJ (2014) Binaural sound source localisation using a Bayesian-network-based blackboard system and hypothesis-driven feedback. Proceedings of Forum Acusticum, Vol. 2014-January View this article in WRRO
• 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)
• González JA, Peinado AM, Gómez AM & Ma N (2012) Log-spectral feature reconstruction based on an occlusion model for noise robust speech recognition. 13th Annual Conference of the International Speech Communication Association 2012, INTERSPEECH 2012, Vol. 3 (pp 2629-2632)
• González JA, Peinado AM, Gómez AM, Ma N & Barker J (2012) Combining missing-data reconstruction and uncertainty decoding for robust speech recognition. Acoustics, Speech and Signal Processing (ICASSP), 2012 IEEE International Conference on (pp 4693-4696). 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)
• Gonzalez JA, Peinado AM, Gomez AM, Ma N & Barker J (2012) Combining missing-data reconstruction and uncertainty decoding for robust speech recognition. 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 25 March 2012 - 30 March 2012.
• 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)
• Ning Ma , Barker J, Christensen H & Green P (2011) Incorporating localisation cues in a fragment decoding framework for distant binaural speech recognition. 2011 Joint Workshop on Hands-free Speech Communication and Microphone Arrays, 30 May 2011 - 1 June 2011.
• Ma N, Barker J, Christensen H, Green P & Assoc ISC (2011) Binaural cues for fragment-based speech recognition in reverberant multisource environments. 12TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION 2011 (INTERSPEECH 2011), VOLS 1-5 (pp 1668-1671)
• Morales-Cordovilla JA, Ma N, Sanchez V, Carmona JL, Peinado AM & Barker J (2011) A pitch based noise estimation technique for robust speech recognition with Missing Data. 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 22 May 2011 - 27 May 2011.
• 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
• 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)
• Ma N, Bartels C, Bilmes J & Green P (2009) Modelling the prepausal lengthening effect for speech recognition: A dynamic Bayesian network approach. Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing. Taipei
• Ma N, Bartels CD, Bilmes JA & Green PD (2009) Modelling the prepausal lengthening effect for speech recognition: a dynamic Bayesian network approach. 2009 IEEE International Conference on Acoustics, Speech and Signal Processing, 19 April 2009 - 24 April 2009.
• 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)
• Ma N & Green P (2008) A 'speechiness' measure to improve speech decoding in the presence of other sound sources. Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH (pp 1285-1288)
• Ma N & Green P (2008) A 'speechiness' measure to improve speech decoding in the presence of other sound sources. INTERSPEECH 2008: 9TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION 2008, VOLS 1-5 (pp 1285-1288)
• 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)
• 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)
• 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)
• Ma N, Green P & Coy A (2006) Exploiting dendritic autocorrelogram structure to identify spectro-temporal regions dominated by a single sound source. INTERSPEECH 2006 AND 9TH INTERNATIONAL CONFERENCE ON SPOKEN LANGUAGE PROCESSING, VOLS 1-5 (pp 669-672)
• Ma N & Green P (2005) Context-dependent word duration modelling for robust speech recognition. 9th European Conference on Speech Communication and Technology (pp 2609-2612)
• Tu Z, Ma N & Barker J () Unsupervised Uncertainty Measures of Automatic Speech Recognition for Non-intrusive Speech Intelligibility Prediction. Interspeech 2022
• Tu Z, Ma N & Barker J () Exploiting Hidden Representations from a DNN-based Speech Recogniser for Speech Intelligibility Prediction in Hearing-impaired Listeners. Interspeech 2022
• Tu Z, Ma N & Barker J () Optimising Hearing Aid Fittings for Speech in Noise with a Differentiable Hearing Loss Model. Interspeech 2021
• Ma N & Brown GJ () Speech Localisation in a Multitalker Mixture by Humans and Machines. Interspeech 2016 View this article in WRRO
• Christensen H, Ma N, Wrigley SN & Barker J () Integrating pitch and localisation cues at a speech fragment level. Interspeech 2007
• Ma N & Green P () Context-dependent word duration modelling for robust speech recognition. INTERSPEECH. Lisbon

Preprints

• Tu Z, Deadman J, Ma N & Barker J (2022) Auditory-Based Data Augmentation for End-to-End Automatic Speech Recognition, arXiv.
• Romero HE, Ma N, Brown GJ, Beeston AV & Hasan M (2019) Deep Learning Features for Robust Detection of Acoustic Events in Sleep-Disordered Breathing, arXiv.
• Vecchiotti P, Ma N, Squartini S & Brown GJ (2019) End-to-end Binaural Sound Localisation from the Raw Waveform, arXiv.