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Jessica Monaghan
Jessica Monaghan
National Acoustic Laboratories
Verified email at nal.gov.au
Title
Cited by
Cited by
Year
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
384*2021
Development of social vocalizations in mice
JMS Grimsley, JJM Monaghan, JJ Wenstrup
PloS one 6 (3), e17460, 2011
2732011
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
1532019
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
1352017
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
85*2009
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
442020
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
402016
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
342017
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
302016
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
302013
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
272022
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
262018
Sensitivity to Envelope Interaural Time Differences at High Modulation Rates
JJM Monaghan, S Bleeck, D McAlpine
Trends in Hearing 19, 2331216515619331, 2015
232015
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
222008
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
132017
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
132016
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
122021
Cross-modal functional connectivity supports speech understanding in cochlear implant users
AM Fullerton, DA Vickers, R Luke, AN Billing, D McAlpine, ...
Cerebral Cortex 33 (7), 3350-3371, 2023
102023
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
72021
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
62022
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Articles 1–20