Target Sound Extraction
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Benchmarks
Most implemented
DPM-TSE: A Diffusion Probabilistic Model for Target Sound Extraction
SoloAudio: Target Sound Extraction with Language-oriented Audio Diffusion Transformer
Cross-attention Inspired Selective State Space Models for Target Sound Extraction
Can all variations within the unified mask-based beamformer framework achieve identical peak extraction performance?
CLAPSep: Leveraging Contrastive Pre-trained Model for Multi-Modal Query-Conditioned Target Sound Extraction
Semantic Hearing: Programming Acoustic Scenes with Binaural Hearables
Papers
SelectTSL: Prompt-Guided Selective Target Sound Localization in Complex Scenarios
Humans can selectively attend to a target sound and estimate its direction in complex scenarios, whereas such selective localization remains challenging for current deep learning-based systems. Sound source localization …
Sound Source LocalizationTarget Sound ExtractionSoundCompass: Navigating Target Sound Extraction With Effective Directional Clue Integration In Complex Acoustic Scenes
Recent advances in target sound extraction (TSE) utilize directional clues derived from direction of arrival (DoA), which represent an inherent spatial property of sound available in any acoustic scene. However, previous…
Target Sound ExtractionSoundSculpt: Direction and Semantics Driven Ambisonic Target Sound Extraction
This paper introduces SoundSculpt, a neural network designed to extract target sound fields from ambisonic recordings. SoundSculpt employs an ambisonic-in-ambisonic-out architecture and is conditioned on both spatial inf…
Image SegmentationSemantic SegmentationTarget Sound ExtractionLeveraging Audio-Only Data for Text-Queried Target Sound Extraction
The goal of text-queried target sound extraction (TSE) is to extract from a mixture a sound source specified with a natural-language caption. While it is preferable to have access to large-scale text-audio pairs to addre…
Target Sound ExtractionMultichannel-to-Multichannel Target Sound Extraction Using Direction and Timestamp Clues
We propose a multichannel-to-multichannel target sound extraction (M2M-TSE) framework for separating multichannel target signals from a multichannel mixture of sound sources. Target sound extraction (TSE) isolates a spec…
Inductive BiasTarget Sound ExtractionLanguage-Queried Target Sound Extraction Without Parallel Training Data
Language-queried target sound extraction (TSE) aims to extract specific sounds from mixtures based on language queries. Traditional fully-supervised training schemes require extensively annotated parallel audio-text data…
Language ModellingLarge Language ModelRetrievalTarget Sound Extraction