The 16th Speech in Noise Workshop (SPIN2025) will take place 9-10 January 2025 in the beautiful city of Lancaster, UK.
Check the Venue page for details of the meeting's location.
Submissions are now closed, registration is open and our list of invited speakers is finalized! You can check the tentative programme here (although be aware that it might still be subject to changes).
Note that the meeting will be exclusively in person. No online/remote attendance will be possible.
Registration
Registration is still open until the 18th of December.
Registration is £80 and includes catering (coffee breaks, lunches on Thursday and Friday). The conference dinner, on Thursday evening, is proposed as an option for £40.
Submissions are now closed
Decision emails have been sent on 18th November. If you submitted an abstract and have not yet received a decision, please email us.
You will be assigned a poster number as soon as the final programme is available.
Programme overview
Keynote Lecture:
“Towards a multimodal view on the neurobiology of language”
Linda Drijvers
Donders Institute, Radboud University, Nijmegen, Netherlands
Invited speakers:
- Colin Cherry Award 2024
Cosima M. A. Stokar von Neuforn, Patrizia F. Scholz
Health and Medical University, Potsdam, Germany
Caught in the cue: Multimodal attentional bias in alcohol and nicotine users - Warren Bakay
University of Roehampton, UK - Anne Keitel
University of Dundee, UK
The role of individual brain rhythm differences in understanding speech in noise - Meher Lad
University of Newcastle, UK
Speech-in-noise impairments in Alzheimer’s disease dementia - Raluca Nicoras
University of Nottingham, Glasgow, UK
Conversation success and behaviours in multiparty interactions - Adam Tierney
Birkbeck, University of London, UK
Weighting of cues to segmental and suprasegmental categorization in quiet and informational masking - Niki K. Vavatzanidis
Ear Research Center Dresden, Germany - Charlotte Vercammen, Stefan Launer
Sonova AG, Stäfa, Switzerland | University of Manchester, UK | University of Leuven, Belgium, Sonova AG, Stäfa, Switzerland | University of Queensland, Australia
Big data insights from hearing aid sound environment classification and smartphone-based self-reported hearing-aid experiences - Deborah Vickers
University of Cambridge, UK - Kelly Whiteford
University of Michigan, Ann Arbor, MI, US
Association of musical training with speech neural coding and perception