Programme

Timings and session details are provided below. All times are in local time (i.e., UTC+1).

9:00	- Coffee / Pastries
9:30	- Welcome
9:40	- Keynote - Bernd T Meyer
10:30	- The Clarity Prediction Challenge Overview
10:50	- Coffee/Tea/Pastries
11:10	- Prediction Challenge Poster session
12:20	- Top systems and prizes
13:00	- Lunch
14:00	- ISAAR/Clarity Discussion
	Future challenges
	Sustainability of future challenge activities
15:00	- Coffee/Tea (Posters Cont)
15:20	- Oral Session / Hearing Aid Speech Enhancement + Other Topics
17:00	- “From spoken speech to sung speech” - Cadenza Lyric Challenge
17:20	- Close

Invited Talk

Bernd T Meyer

University of Oldenburg, Germany

Machine learning for computational audiology: Prediction of auditory perception and improvement of speech signals based on deep learning

Machine learning for computational audiology: Prediction of auditory perception and improvement of speech signals based on deep learning

Abstract

To appear.

Bio

Bernd T. Meyer received the Ph.D. degree from the University of Oldenburg, Germany, in 2009, where he was a member of the Medical Physics Group. He was a Visiting Researcher in the speech group with the International Computer Science Institute, Berkeley, CA, USA, and worked in the Center for Language and Speech Processing at the Johns Hopkins University, Baltimore, MD, USA. Since 2019, he is professor for Communication Acoustics at the University Oldenburg. His research interests include the relation of speech and hearing, with a special interest in models of human speech perception, automatic speech processing and its applications in hearing technology.

Clarity Prediction Challenge

	10:30-10:50	The 3rd Clarity Prediction Challenge: A machine learning challenge for hearing aid intelligibility prediction Jon Barker1, Michael A. Akeroyd2, Trevor J. Cox3, John F. Culling4, Jennifer Firth2, Simone Graetzer3 and Graham Naylor2 (1University of Sheffield; 2University of Nottingham; 3University of Salford; 4Cardiff University)
	11:10-12:20	The CPC3 Poster Session Papers/Authors TBA
	12:20-12:40	System Paper 1 (Authors TBA)
	12:40-13:00	Systen Paper 2 (Authors TBA)

ISAAR/Clarity Discussion Session

There will be a one hour discussion session that will link up the International Symposium on Auditory and Audiological Research (ISAAR-2025) and the Clarity workshop. The discussion will bring speech and hearing researchers together to discuss the future priorities for hearing device machine learning challneges. What are the needs of hearing device users? What opportunities does machine learning provide for addressing these needs?

	14:00-14:10	Opening Remarks: ISAAR Workshop
	14:00-14:10	Opening Remarks: Clarity Workshop
	14:20-14:50	Discussion
	14:50-15:00	Summary/Conclusion

Further session details to appear.

Hearing Aid Speech Enhancement + Other Topics

The session will consist of oral presentations each of up to 20 minutes with 5 minutes for Q&A.

	15:20-15:45	The Dawn of Psychoacoustic Reverse Correlation: A Data-Driven Methodology for Determining Fine Grained Perceptual Cues of Speech Clarity Paige Tuttösi1, Henny Yeung1, Yue Wang1, Jean-Julien Aucouturier2, Angelica Lim1 (Simon Fraser University, US1; Institut FEMTO-ST, France2)
	15:45-16:10	TF-MLPNet: Tiny Real-Time Neural Speech Separation Malek Itani, Tuochao Chen, Shyam Gollakota (University of Washington, US)
	16:10-16:35	Controllable joint noise reduction and hearing loss compensation using a differentiable auditory model Philippe Gonzalez, Tobias May, Torstan Dau (Technical University of Denmark)
	16:35-17:00	Say Who You Want to Hear: Leveraging TTS Style Embeddings for Text-Guided Speech Extraction Akam Rahimil, Triantafyllos Afouras, Andrew Zisserman (University of Oxford, UK)