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Jessica Monaghan started her scientific career reading Natural Sciences at the University of Cambridge, specialising in Physics. There she completely her Masters research project into how the principles of human listening might be applied to improve automatic speech recognition by machines at the Centre for the Neural Basis of Hearing (CNBH). After working at the CNBH for a year as a research assistant, she undertook her PhD studies at the UK Medical Research Council’s Institute for Hearing Research, where she developed an algorithm to improve the ability of cochlear implant users to localise sounds in rooms. As a postdoctoral researcher at the University of Southampton, she developed noise-reduction algorithms for hearing aids and cochlear implants using state-of-the-art machine learning techniques such as neural network and sparse coding. In 2015 she moved to Australia to work as a Research Fellow at Macquarie University, where she is researching the ability of people with normal hearing to understand speech in noisy environments, and using this knowledge to develop the next generation of hearing devices. 

 

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Projects 2017 2017

Speech Enhancement in Humans and Machines

Monaghan, J., Goehring, T., Bleeck, S. & McMahon, C.

13/03/17 → …

Project: Research

Research Output 2008 2017

  • 10 Article
  • 4 Conference proceeding contribution

Auditory inspired machine learning techniques can improve speech intelligibility and quality for hearing-impaired listeners

Monaghan, J. J. M., Goehring, T., Yang, X., Bolner, F., Wang, S., Wright, M. C. M. & Bleeck, S. Mar 2017 In : Journal of the Acoustical Society of America. 141, 3, p. 1985-1998 14 p.

Research output: Research - peer-reviewArticle

machine learning
intelligibility
hearing
dictionaries
coding

Influence of envelope waveform on ITD sensitivity of neurons in the auditory midbrain

Greenberg, D., Monaghan, J. J. M., Dietz, M., Marquardt, T. & McAlpine, D. 17 Oct 2017 In : Journal of Neurophysiology. 118, 4, p. 2358-2370 13 p.

Research output: Research - peer-reviewArticle

Mesencephalon
Neurons
Electrophysiology
Urethane
Guinea Pigs

Speech enhancement based on neural networks improves speech intelligibility in noise for cochlear implant users

Goehring, T., Bolner, F., Monaghan, J. J. M., van Dijk, B., Zarowski, A. & Bleeck, S. Feb 2017 In : Hearing Research. 344, p. 183-194 12 p.

Research output: Research - peer-reviewArticle

Open Access
File
Speech Intelligibility
Noise
Signal-To-Noise Ratio
Electric Stimulation

Tolerable delay for speech production and perception: effects of hearing ability and experience with hearing aids

Goehring, T., Chapman, J. L., Bleeck, S. & Monaghan, J. J. M. 2017 In : International Journal of Audiology. p. 1-8 8 p.

Research output: Research - peer-reviewArticle

Speech Perception
Aptitude
Hearing Aids
Hearing Loss
Open Access
File
envelopes
cues
reverberation
hearing
lateral stability