5 papers
Finetuning Strategies for Querying Sounds by Vocal Imitation
Aditya Bhattacharjee, Christos Plachouras, Sungkyun Chang +1
This technical report describes our winning submission to the AES AIMLA 2025 Challenge on querying sound effects by vocal imitation. We investigate two complementary fine-tuning st…
Quality Audio Prototyping: a prototype system for unified sound retrieval and procedural generation
Nelly Garcia, Aditya Bhattacharjee, Gabryel Mason-Williams +3
Sound design workflows frequently oscillate between time-consuming library searches and the complexity of procedural synthesis, with practitioners typically relying on disconnected…
Scalable Evaluation for Audio Identification via Synthetic Latent Fingerprint Generation
Aditya Bhattacharjee, Marco Pasini, Emmanouil Benetos
The evaluation of audio fingerprinting at a realistic scale is limited by the scarcity of large public music databases. We present an audio-free approach that synthesises latent fi…
Refining music sample identification with a self-supervised graph neural network
Aditya Bhattacharjee, Ivan Meresman Higgs, Mark Sandler +1
Automatic sample identification (ASID), the detection and identification of portions of audio recordings that have been reused in new musical works, is an essential but challenging…
GraFPrint: A GNN-Based Approach for Audio Identification
Aditya Bhattacharjee, Shubhr Singh, Emmanouil Benetos
This paper introduces GraFPrint, an audio identification framework that leverages the structural learning capabilities of Graph Neural Networks (GNNs) to create robust audio finger…