Finetuning Strategies for Querying Sounds by Vocal Imitation
By Aditya Bhattacharjee · Paper · cs.SD
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 strategies: contrastive learning with a frozen, pretrained CED encoder, and joint contrastive-triplet