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Lyon, Richard F., Zac Partridge, Julian Maclaren, Jason Mikiel-Hunter, Katrina Fernandez, Nima Salimi, Brooke Luthy, Dian Lu, and Simon Carlile. 2026. “A consonant confusion classifier for training a model of hearing impairment.” Poster presented at IHCON, Banff. August.
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Mikiel-Hunter, Jason, Nima Salimi, Jessica Monaghan, Alan Kan, and Jörg M. Buchholz. 2024. “Using CARFAC-JAX, a Fast, Differentiable Model of the Human Cochlea, to Efficiently Fit Personalized Hearing Loss.” Paper presented at Virtual Conference on Computational Audiology.
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Mikiel-Hunter, Jason, Richard F Lyon, Robert Schonberger, and Honglin Yu. 2025. “Tuning a Version of CARFAC Cochlear Model That Includes Different Spontaneous-Rate Classes of Auditory Nerve Fibers.” Paper presented at Virtual Conference on Computational Audiology. June.
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Miles, Kelly, Brooke Luthy, Jorg Buchholz, et al. 2025. “Towards Wearables in the Wild: Predicting Communication Difficulty during Conversations in Noise.” Paper presented at International Symposium on Auditory and Audiological Research, Nyborg, Denmark. August.
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Monaghan, Jessica. 2024. “Closing the Loop: Machine Learning Approaches to Hyperpersonalising Hearing Aids.” Paper presented at Mechanics of Hearing. June.
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Salimi, Nima, Jason Mikiel-Hunter, Alan Kan, et al. 2025. “Developing a Personalized Hearing Framework with CARFAC v3 and ANN Based on Performance on the Categorical Loudness Scale (qCLS) and Quick-Vowel-Consonant (qVCV) Tests.” Paper presentation ARO 48th Mid-Winter Meeting (Florida), February.
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Salimi, Nima, Jason Mikiel-Hunter, Jessica Monaghan, Arun Sebastian, and Jörg M. Buchholz. 2024. “Developing a Novel Hearing Aid Framework Using Machine Learning and a Model of the Impaired Cochlea.” Paper Virtual Conference on Computational Audiology.
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Salimi, Nima, Richard F Lyon, Tomo Akitomi, Robert Schonberger, Marie White, and Carlile, Simon. 2025. “A Physiologically Explainable Machine Learning Framework for Hearing Aid Development.” Paper, Virtual Conference on Computational Audiology, June.
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Zhong, Henry, Jorg Buchholz, Simon Carlile, and Richard F Lyon. 2025. “Scene Recognition of Audiologically Relevant Environments for Hearing Aids Using AHEAD-DS and YAMNet+” Paper presented at Virtual Conference on Computational Audiology. June.
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Zhu, Judy, Eric Larsen, Yifan Gu, Paul Sowman, Adrian KC Lee, and Simon Carlile. 2024. “Cortical Activation during Engaged Conversation.” Paper presented at Neuroscience at Google, London. Feb.
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Zhong, H., Buchholz, J. M., Maclaren, J., Carlile, S., & Lyon, R. F. (2025). A dataset and model for recognition of audiologically relevant environments for hearing aids: AHEAD-DS and YAMNet+. arXiv. https://doi.org/10.48550/arXiv.2508.10360
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Collins, J., Buzea, A., Collier, C., Rosen, A. B., Maclaren, J., Lyon, R. F., Miles, K., & Carlile, S. (2026). Identifying hearing difficulty moments in conversational audio. Trends in Hearing, 30, 23312165261446379. https://doi.org/10.1177/23312165261446379
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Ibrahim, R. K., Miles, K., Maggs, L., Luthy, B., Kan, A., Richardson, M. J., Maclaren, J., Carlile, S., Smith, Z. M., & Buchholz, J. M. (2026). Building a multi-sensor lab for interactive communication research: Challenges, workarounds, and lessons learned. Trends in Hearing, 30, 23312165261470622. https://doi.org/10.1177/23312165261470622
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Macpherson, M. C., Miles, K., Weisser, A., Buchholz, J., Carlile, S., & Richardson, M. J. (2025). Exploring the impact of background noise on fractal dynamics and complexity matching during social interaction. PsyArXiv. https://doi.org/10.31234/osf.io/cwgpx_v1
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Varlet, M., Macpherson, M., Miles, K., Carlile, S., & Richardson, M. Embodied language representation in natural conversations. Manuscript submitted for publication, Nature Human Behaviour.
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Lyon, R. F., Schonberger, R., Slaney, M., Velimirović, M., & Yu, H. (2024). The CARFAC v2 cochlear model in Matlab, NumPy, and JAX. arXiv. https://doi.org/10.48550/arXiv.2404.17490