The 16^th 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.

Registration

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