5 papers
A Stem-Agnostic Approach to Hybrid AI Music Detection
Richa Namballa, François Rigaud, Romain Hennequin
The inclusion of generative audio in the music production process has led to an increase in hybrid music tracks that blend authentic human performances with AI-generated stems, cha…
Spacing Out: On the Reliability of Binaural Music Source Separation Metrics
Richa Namballa, Magdalena Fuentes
Despite the rising popularity of immersive audio, binaural music remains underexplored in music information retrieval (MIR), particularly regarding the task of music source separat…
Live Vocal Extraction from K-pop Performances
Yujin Kim, Richa Namballa, Magdalena Fuentes
K-pop's global success is fueled by its dynamic performances and vibrant fan engagement. Inspired by K-pop fan culture, we propose a methodology for automatically extracting live v…
Do Music Source Separation Models Preserve Spatial Information in Binaural Audio?
Richa Namballa, Agnieszka Roginska, Magdalena Fuentes
Binaural audio remains underexplored within the music information retrieval community. Motivated by the rising popularity of virtual and augmented reality experiences as well as po…
Musical Source Separation of Brazilian Percussion
Richa Namballa, Giovana Morais, Magdalena Fuentes
Musical source separation (MSS) has recently seen a big breakthrough in separating instruments from a mixture in the context of Western music, but research on non-Western instrumen…