14 citations · 36 across the 26 of their papers we have counts for
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cs.SD2024
OpenSep: Leveraging Large Language Models with Textual Inversion for Open World Audio Separation
Tanvir Mahmud, Diana Marculescu
Audio separation in real-world scenarios, where mixtures contain a variable number of sources, presents significant challenges due to limitations of existing models, such as over-s…
cs.SD2024★ 1 cited
Weakly-supervised Audio Separation via Bi-modal Semantic Similarity
Tanvir Mahmud, Saeed Amizadeh, Kazuhito Koishida +1
Conditional sound separation in multi-source audio mixtures without having access to single source sound data during training is a long standing challenge. Existing mix-and-separat…