ALM2Vec: Learning Audio Embeddings for Universal Audio Retrieval with Large Audio-Language Models

Fengjie Lu, Chenang Jiang, Jiarui Hai +2

Recent advances in language--audio retrieval have been largely driven by contrastive dual-encoder architectures that align audio and text in a shared embedding space. While effecti…