Programme

15:15	Welcome
15:20	The Cadenza CAD2: Overview
15:40	Contributed Papers

15:20-15:40

The second Cadenza machine learning challenge (CAD2): Improving music for people with hearing loss.
Trevor J. Cox⁴, Michael A. Akeroyd¹, Scott Bannister², Jon Barker³, Bruno Fazenda⁴, Jennifer Firth¹, Simone Graetzer⁴, Alinka Greasley², Gerardo Roa Dabike³, Rebecca Vos⁴, William Whitmer¹ (¹University of Nottingham; ²University of Leeds; ³University of Sheffield; ⁴University of Salford)

Contributed Papers

15:40-16:00	Rebalancing classical music for hearing impaired listeners Alexander Levinson and Frej S. Lorenzen (Aalborg University, Denmark)
16:00-16:20	Audiogram guided EQ for instrument level classical music balancing in hearing impaired listeners Parakrant Sarkar and PerMagnus Lindborg (School of Creative Media, City University of Hong Kong)
16:20-16:40	Personalized music enhancement using signal adaptive dynamic equalization. Parakrant Sarkar and PerMagnus Lindborg (School of Creative Media, City University of Hong Kong)
16:40-17:00	Exploring music audio assessment with large language models and HAAQI-Net Dyah Wisnu¹, Stefano Rini², Ryandhimas Zezario¹, Hsin-Min Wang¹ and Yu Tsao¹ (¹Academia Sinica, Taiwan, ²University Hsinchu, Taiwan)