A survey on deep learning-based non-invasive brain signals: recent advances and new frontiers X Zhang, L Yao, X Wang, J Monaghan, D Mcalpine, Y Zhang Journal of neural engineering 18 (3), 031002, 2021 | 328* | 2021 |
Development of social vocalizations in mice JMS Grimsley, JJM Monaghan, JJ Wenstrup PloS one 6 (3), e17460, 2011 | 257 | 2011 |
A convolutional recurrent attention model for subject-independent EEG signal analysis D Zhang, L Yao, K Chen, J Monaghan IEEE Signal Processing Letters 26 (5), 715-719, 2019 | 129 | 2019 |
Speech enhancement based on neural networks improves speech intelligibility in noise for cochlear implant users T Goehring, F Bolner, JJM Monaghan, B Van Dijk, A Zarowski, S Bleeck Hearing research 344, 183-194, 2017 | 126 | 2017 |
A statistical, formant-pattern model for segregating vowel type and vocal-tract length in developmental formant data RE Turner, TC Walters, JJM Monaghan, RD Patterson The Journal of the Acoustical Society of America 125 (4), 2374-2386, 2009 | 80* | 2009 |
Speech enhancement based on neural networks applied to cochlear implant coding strategies F Bolner, T Goehring, J Monaghan, B Van Dijk, J Wouters, S Bleeck 2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016 | 36 | 2016 |
Hidden hearing loss impacts the neural representation of speech in background noise JJM Monaghan, JA Garcia-Lazaro, D McAlpine, R Schaette Current Biology 30 (23), 4710-4721. e4, 2020 | 33 | 2020 |
Auditory inspired machine learning techniques can improve speech intelligibility and quality for hearing-impaired listeners JJM Monaghan, T Goehring, X Yang, F Bolner, S Wang, M Wright, ... The Journal of the Acoustical Society of America 141 (3), 1985-1998, 2017 | 33 | 2017 |
Factors affecting the use of envelope interaural time differences in reverberation JJM Monaghan, K Krumbholz, BU Seeber The Journal of the Acoustical Society of America 133 (4), 2288-2300, 2013 | 28 | 2013 |
A method to enhance the use of interaural time differences for cochlear implants in reverberant environments JJM Monaghan, BU Seeber The Journal of the Acoustical Society of America 140 (2), 1116-1129, 2016 | 26 | 2016 |
Tolerable delay for speech production and perception: Effects of hearing ability and experience with hearing aids T Goehring, JL Chapman, S Bleeck, JJM Monaghan* International Journal of Audiology 57 (1), 61-68, 2018 | 24 | 2018 |
Low-dimensional, auditory feature vectors that improve vocal-tract-length normalization in automatic speech recognition JJ Monaghan, C Feldbauer, TC Walters, RD Patterson Journal of the Acoustical Society of America 123 (5), 3066, 2008 | 22 | 2008 |
Sensitivity to Envelope Interaural Time Differences at High Modulation Rates JJM Monaghan, S Bleeck, D McAlpine Trends in Hearing 19, 2331216515619331, 2015 | 21 | 2015 |
Speech enhancement for hearing-impaired listeners using deep neural networks with auditory-model based features T Goehring, X Yang, JJM Monaghan, S Bleeck 2016 24th European signal processing conference (EUSIPCO), 2300-2304, 2016 | 13 | 2016 |
Influence of envelope waveform on ITD sensitivity of neurons in the auditory midbrain D Greenberg, JJM Monaghan, M Dietz, T Marquardt, D McAlpine Journal of neurophysiology 118 (4), 2358-2370, 2017 | 12 | 2017 |
Deep reinforcement learning guided graph neural networks for brain network analysis X Zhao, J Wu, H Peng, A Beheshti, JJM Monaghan, D McAlpine, ... Neural Networks 154, 56-67, 2022 | 11 | 2022 |
Understanding degraded speech leads to perceptual gating of a brainstem reflex in human listeners H Hernández-Pérez, J Mikiel-Hunter, D McAlpine, S Dhar, ... PLoS biology 19 (10), e3001439, 2021 | 6 | 2021 |
Generalizable sample-efficient siamese autoencoder for tinnitus diagnosis in listeners with subjective tinnitus Z Liu, L Yao, X Wang, JJM Monaghan, R Schaette, Z He, D McAlpine IEEE Transactions on Neural Systems and Rehabilitation Engineering 29, 1452-1461, 2021 | 6 | 2021 |
Disentangled and side-aware unsupervised domain adaptation for cross-dataset subjective tinnitus diagnosis Y Li, Z Liu, L Yao, JJM Monaghan, D McAlpine IEEE Journal of Biomedical and Health Informatics 27 (1), 538-549, 2022 | 5 | 2022 |
Side-aware meta-learning for cross-dataset listener diagnosis with subjective tinnitus Z Liu, Y Li, L Yao, M Lucas, JJM Monaghan, Y Zhang IEEE Transactions on Neural Systems and Rehabilitation Engineering 30, 2352-2361, 2022 | 4 | 2022 |