5 papers
Training Music Sample Identification Models on Real Sample Pairs
R. Oguz Araz, Joan Serrà, Xavier Lizarraga-Seijas +4
Sample identification (SI) is the task of matching pairs of tracks, where one track is created by musically transforming an element of the other. In the absence of sample annotatio…
Assessing AI-generated music detection in real-world broadcast monitoring
David López-Ayala, Fernando García de la Cruz, Pablo Zinemanas +2
The proliferation of AI-generated music in broadcast media raises concerns about transparency and fair compensation, but reliable detection under real broadcast conditions remains…
How Much AI Is in This Track? Quantifying the Proportion of AI-Generated Stems in Hybrid Music Mixtures
Fernando Garcia de la Cruz, David López-Ayala, Pablo Zinemanas +2
AI-generated music is increasingly used at the stem level, with producers integrating synthetic drums, basslines, or vocals alongside human-performed instruments. However, current…
AI-Generated Music Detection in Broadcast Monitoring
David López-Ayala, Asier Cabello, Pablo Zinemanas +2
AI music generators have advanced to the point where their outputs are often indistinguishable from human compositions. While detection methods have emerged, they are typically des…
Enhancing Neural Audio Fingerprint Robustness to Audio Degradation for Music Identification
R. Oguz Araz, Guillem Cortès-Sebastià, Emilio Molina +4
Audio fingerprinting (AFP) allows the identification of unknown audio content by extracting compact representations, termed audio fingerprints, that are designed to remain robust a…