1 citations · 1 across the 4 of their papers we have counts for
4 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…
AllMusicCaps: Album Reviews as Complementary Supervision for Music CLAP
Pablo Alonso-Jiménez, Xavier Lizarraga-Seijas, Xavier Serra +1
Recent open text-audio contrastive models (CLAPs) are typically trained with LLM-generated captions derived from tag datasets or web search results, which tend to be accurate but e…
Evaluating Neural Networks Architectures for Spring Reverb Modelling
Francesco Papaleo, Xavier Lizarraga-Seijas, Frederic Font
Reverberation is a key element in spatial audio perception, historically achieved with the use of analogue devices, such as plate and spring reverb, and in the last decades with di…
ChoralSynth: Synthetic Dataset of Choral Singing
Jyoti Narang, Viviana De La Vega, Xavier Lizarraga +4
Choral singing, a widely practiced form of ensemble singing, lacks comprehensive datasets in the realm of Music Information Retrieval (MIR) research, due to challenges arising from…