Dr Ning Ma
Department of Computer Science
Research Fellow
Member of the Speech and Hearing (SpandH) research group
n.ma@sheffield.ac.uk
+44 114 222 1839
+44 114 222 1839
Regent Court (DCS)
Full contact details
Dr Ning Ma
Department of Computer Science
Regent Court (DCS)
211 Portobello
Sheffield
S1 4DP
Department of Computer Science
Regent Court (DCS)
211 Portobello
Sheffield
S1 4DP
- Research interests
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- Acoustic monitoring for healthcare
- Speech and hearing technology
- Binaural sound localisation
- Hearing impairment and cochlear implant processing
- Publications
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Journal articles
- 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
- 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
- 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
- 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
- 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
- Speech spectral envelope enhancement by HMM-based analysis/resynthesis. IEEE Signal Processing Letters, 20(6), 563-566.
- MMSE-based missing-feature reconstruction with temporal modeling for robust speech recognition. IEEE Transactions on Audio, Speech and Language Processing, 21(3), 624-635.
- The PASCAL CHiME speech separation and recognition challenge. Computer Speech and Language.
- Speech fragment decoding techniques for simultaneous speaker identification and speech recognition. COMPUT SPEECH LANG, 24(1), 94-111.
- 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.
- 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
- 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.
- Exploiting Non-Negative Matrix Factorization for Binaural Sound Localization in the Presence of Directional Interference, Vol. 00 (pp 221-225)
- DHASP: Differentiable Hearing Aid Speech Processing, Vol. 00 (pp 296-300)
- 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
- 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
- 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
- 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
- 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
- A robust dual-microphone speech source localization algorithm for reverberant environments. Proceedings of INTERSPEECH 2016 View this article in WRRO
- 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
- 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
- View this article in WRRO
- View this article in WRRO
- 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
- 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
- View this article in WRRO
- 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.
- 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.
- 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.
- 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.
- Unsupervised Uncertainty Measures of Automatic Speech Recognition for Non-intrusive Speech Intelligibility Prediction. Interspeech 2022
- Exploiting Hidden Representations from a DNN-based Speech Recogniser for Speech Intelligibility Prediction in Hearing-impaired Listeners. Interspeech 2022
- Optimising Hearing Aid Fittings for Speech in Noise with a Differentiable Hearing Loss Model. Interspeech 2021
- Speech Localisation in a Multitalker Mixture by Humans and Machines. Interspeech 2016 View this article in WRRO
- Integrating pitch and localisation cues at a speech fragment level. Interspeech 2007
Preprints
- 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