2023/10/05 by Gerardo Roa Dabike, Dabike, Gerardo Roa, Michael A. Akeroyd +19
Computer Science · Engineering · #Audio and Speech Processing (eess.AS) #Distributed and Parallel Computing Systems #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Reservoir Engineering and Simulation Methods #Signal Processing (eess.SP) #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.2310.03480
openalex publication_date 2023/10/05 · openalex created_date 2023/10/08 · openalex updated_date 2026/07/28
This paper reports on the design and results of the 2024 ICASSP SP Cadenza Challenge: Music Demixing/Remixing for Hearing Aids. The Cadenza project is working to enhance the audio quality of music for those with a hearing loss. The scenario for the challenge was listening to stereo reproduction over loudspeakers via hearing aids. The task was to: decompose pop/rock music into vocal, drums, bass and other (VDBO); rebalance the different tracks with specified gains and then remixing back to stereo. End-to-end approaches were also accepted. 17 systems were submitted by 11 teams. Causal systems performed poorer than non-causal approaches. 9 systems beat the baseline. A common approach was to fine-tuning pretrained demixing models. The best approach used an ensemble of models.