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Ning Ma 0002
Person information
- affiliation: University of Sheffield, UK
Other persons with the same name
- Ning Ma — disambiguation page
- Ning Ma 0001 — University of California, San Diego, USA
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2020 – today
- 2023
- [c36]Qi Hu
, Ning Ma
Robust Binaural Sound Localisation with Temporal Attention. ICASSP 2023: 1-5 - [c35]Hector E. Romero, Ning Ma
Obstructive sleep apnea screening with breathing sounds and respiratory effort: a multimodal deep learning approach. INTERSPEECH 2023: 5451-5455 - [i10]Zehai Tu, Ning Ma, Jon Barker:
Intelligibility prediction with a pretrained noise-robust automatic speech recognition model. CoRR abs/2310.19817 (2023) - 2022
- [j11]Hector E. Romero
Acoustic Screening for Obstructive Sleep Apnea in Home Environments Based on Deep Neural Networks. IEEE J. Biomed. Health Informatics 26(7): 2941-2950 (2022) - [c34]Zehai Tu, Jack Deadman, Ning Ma
Auditory-Based Data Augmentation for end-to-end Automatic Speech Recognition. ICASSP 2022: 7447-7451 - [c33]Zehai Tu, Ning Ma
Exploiting Hidden Representations from a DNN-based Speech Recogniser for Speech Intelligibility Prediction in Hearing-impaired Listeners. INTERSPEECH 2022: 3488-3492 - [c32]Zehai Tu, Ning Ma
Unsupervised Uncertainty Measures of Automatic Speech Recognition for Non-intrusive Speech Intelligibility Prediction. INTERSPEECH 2022: 3493-3497 - [c31]Emma Barker, Jon Barker, Robert J. Gaizauskas, Ning Ma, Monica Lestari Paramita:
SNuC: The Sheffield Numbers Spoken Language Corpus. LREC 2022: 1978-1984 - [i9]Zehai Tu, Jack Deadman, Ning Ma
Auditory-Based Data Augmentation for End-to-End Automatic Speech Recognition. CoRR abs/2204.04284 (2022) - [i8]Zehai Tu, Ning Ma, Jon Barker:
Exploiting Hidden Representations from a DNN-based Speech Recogniser for Speech Intelligibility Prediction in Hearing-impaired Listeners. CoRR abs/2204.04287 (2022) - [i7]Zehai Tu, Ning Ma, Jon Barker:
Unsupervised Uncertainty Measures of Automatic Speech Recognition for Non-intrusive Speech Intelligibility Prediction. CoRR abs/2204.04288 (2022) - 2021
- [c30]Ingvi Örnolfsson
Exploiting Non-Negative Matrix Factorization for Binaural Sound Localization in the Presence of Directional Interference. ICASSP 2021: 221-225 - [c29]Zehai Tu, Ning Ma
DHASP: Differentiable Hearing Aid Speech Processing. ICASSP 2021: 296-300 - [c28]Zehai Tu, Ning Ma
Optimising Hearing Aid Fittings for Speech in Noise with a Differentiable Hearing Loss Model. Interspeech 2021: 691-695 - [i6]Zehai Tu, Ning Ma, Jon Barker:
DHASP: Differentiable Hearing Aid Speech Processing. CoRR abs/2103.08569 (2021) - [i5]Zehai Tu, Ning Ma, Jon Barker:
Optimising Hearing Aid Fittings for Speech in Noise with a Differentiable Hearing Loss Model. CoRR abs/2106.04639 (2021) - 2020
- [c27]Hector E. Romero, Ning Ma
Snorer Diarisation Based On Deep Neural Network Embeddings. ICASSP 2020: 876-880
2010 – 2019
- 2019
- [c26]Paolo Vecchiotti, Ning Ma
End-to-end Binaural Sound Localisation from the Raw Waveform. ICASSP 2019: 451-455 - [c25]Hector E. Romero, Ning Ma
Deep Learning Features for Robust Detection of Acoustic Events in Sleep-disordered Breathing. ICASSP 2019: 810-814 - [i4]Paolo Vecchiotti, Ning Ma
End-to-end Binaural Sound Localisation from the Raw Waveform. CoRR abs/1904.01916 (2019) - [i3]Hector E. Romero, Ning Ma
Deep Learning Features for Robust Detection of Acoustic Events in Sleep-Disordered Breathing. CoRR abs/1904.02992 (2019) - [i2]Ning Ma, Tobias May, Guy J. Brown:
Exploiting Deep Neural Networks and Head Movements for Robust Binaural Localisation of Multiple Sources in Reverberant Environments. CoRR abs/1904.03001 (2019) - [i1]Ning Ma, José A. González, Guy J. Brown:
Robust Binaural Localization of a Target Sound Source by Combining Spectral Source Models and Deep Neural Networks. CoRR abs/1904.03006 (2019) - 2018
- [j10]Ning Ma
Robust Binaural Localization of a Target Sound Source by Combining Spectral Source Models and Deep Neural Networks. IEEE ACM Trans. Audio Speech Lang. Process. 26(11): 2122-2131 (2018) - 2017
- [j9]José A. González
Spectral Reconstruction and Noise Model Estimation Based on a Masking Model for Noise Robust Speech Recognition. Circuits Syst. Signal Process. 36(9): 3731-3760 (2017) - [j8]Ning Ma
Exploiting Deep Neural Networks and Head Movements for Robust Binaural Localization of Multiple Sources in Reverberant Environments. IEEE ACM Trans. Audio Speech Lang. Process. 25(12): 2444-2453 (2017) - [c24]Hendrik Meutzner, Ning Ma
Improving audio-visual speech recognition using deep neural networks with dynamic stream reliability estimates. ICASSP 2017: 5320-5324 - 2016
- [c23]Steffen Zeiler, Robert Nicheli, Ning Ma
Robust audiovisual speech recognition using noise-adaptive linear discriminant analysis. ICASSP 2016: 2797-2801 - [c22]Yanmeng Guo, Xiaofei Wang, Chao Wu, Qiang Fu, Ning Ma
A Robust Dual-Microphone Speech Source Localization Algorithm for Reverberant Environments. INTERSPEECH 2016: 3354-3358 - [c21]Ning Ma
Speech Localisation in a Multitalker Mixture by Humans and Machines. INTERSPEECH 2016: 3359-3363 - 2015
- [c20]Ning Ma
Exploiting synchrony spectra and deep neural networks for noise-robust automatic speech recognition. ASRU 2015: 490-495 - [c19]Tobias May, Ning Ma
Robust localisation of multiple speakers exploiting head movements and multi-conditional training of binaural cues. ICASSP 2015: 2679-2683 - [c18]Ning Ma
A machine-hearing system exploiting head movements for binaural sound localisation in reverberant conditions. ICASSP 2015: 2699-2703 - [c17]Ning Ma, Guy J. Brown, José A. González:
Exploiting top-down source models to improve binaural localisation of multiple sources in reverberant environments. INTERSPEECH 2015: 160-164 - [c16]Ning Ma, Guy J. Brown, Tobias May:
Exploiting deep neural networks and head movements for binaural localisation of multiple speakers in reverberant conditions. INTERSPEECH 2015: 3302-3306 - 2013
- [j7]Jon Barker
The PASCAL CHiME speech separation and recognition challenge. Comput. Speech Lang. 27(3): 621-633 (2013) - [j6]Ning Ma
A hearing-inspired approach for distant-microphone speech recognition in the presence of multiple sources. Comput. Speech Lang. 27(3): 820-836 (2013) - [j5]José L. Carmona, Jon Barker
Speech Spectral Envelope Enhancement by HMM-Based Analysis/Resynthesis. IEEE Signal Process. Lett. 20(6): 563-566 (2013) - [j4]José A. González
MMSE-Based Missing-Feature Reconstruction With Temporal Modeling for Robust Speech Recognition. IEEE Trans. Speech Audio Process. 21(3): 624-635 (2013) - 2012
- [j3]Ning Ma
Combining Speech Fragment Decoding and Adaptive Noise Floor Modeling. IEEE Trans. Speech Audio Process. 20(3): 818-827 (2012) - [c15]José Andrés González López
Combining missing-data reconstruction and uncertainty decoding for robust speech recognition. ICASSP 2012: 4693-4696 - [c14]José A. González, Antonio M. Peinado, Angel M. Gomez, Ning Ma:
Log-spectral feature reconstruction based on an occlusion model for noise robust speech recognition. INTERSPEECH 2012: 2630-2633 - [c13]Ning Ma, Jon Barker:
Coupling identification and reconstruction of missing features for noise-robust automatic speech recognition. INTERSPEECH 2012: 2638-2641 - 2011
- [c12]Juan Andres Morales-Cordovilla, Ning Ma
A pitch based noise estimation technique for robust speech recognition with Missing Data. ICASSP 2011: 4808-4811 - [c11]Ning Ma, Jon Barker, Heidi Christensen, Phil D. Green:
Binaural Cues for Fragment-Based Speech Recognition in Reverberant Multisource Environments. INTERSPEECH 2011: 1657-1660 - 2010
- [j2]Jon Barker
Speech fragment decoding techniques for simultaneous speaker identification and speech recognition. Comput. Speech Lang. 24(1): 94-111 (2010) - [c10]Ning Ma, Jon Barker, Heidi Christensen, Phil D. Green:
Distant microphone speech recognition in a noisy indoor environment: combining soft missing data and speech fragment decoding. SAPA@INTERSPEECH 2010: 19-24 - [c9]Heidi Christensen, Jon Barker, Ning Ma, Phil D. Green:
The CHiME corpus: a resource and a challenge for computational hearing in multisource environments. INTERSPEECH 2010: 1918-1921
2000 – 2009
- 2009
- [b1]Ning Ma:
Informing multisource decoding in robust automatic speech recognition. University of Sheffield, UK, 2009 - [c8]Heidi Christensen
A speech fragment approach to localising multiple speakers in reverberant environments. ICASSP 2009: 4593-4596 - [c7]Ning Ma
Modelling the prepausal lengthening effect for speech recognition: a dynamic Bayesian network approach. ICASSP 2009: 4617-4620 - 2008
- [c6]Ning Ma, Phil D. Green:
A 'speechiness' measure to improve speech decoding in the presence of other sound sources. INTERSPEECH 2008: 1285-1288 - 2007
- [j1]Ning Ma
Exploiting correlogram structure for robust speech recognition with multiple speech sources. Speech Commun. 49(12): 874-891 (2007) - [c5]Ning Ma, Jon Barker, Phil D. Green:
Applying word duration constraints by using unrolled HMMs. INTERSPEECH 2007: 1066-1069 - [c4]Heidi Christensen
Integrating pitch and localisation cues at a speech fragment level. INTERSPEECH 2007: 2769-2772 - 2006
- [c3]Jon Barker, André Coy, Ning Ma, Martin Cooke:
Recent advances in speech fragment decoding techniques. INTERSPEECH 2006 - [c2]Ning Ma, Phil D. Green, André Coy:
Exploiting dendritic autocorrelogram structure to identify spectro-temporal regions dominated by a single sound source. INTERSPEECH 2006 - 2005
- [c1]Ning Ma, Phil D. Green:
Context-dependent word duration modelling for robust speech recognition. INTERSPEECH 2005: 2609-2612
Coauthor Index
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last updated on 2024-11-19 20:47 CET by the dblp team
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