SOTAVerified

Audio Source Separation

Audio Source Separation is the process of separating a mixture (e.g. a pop band recording) into isolated sounds from individual sources (e.g. just the lead vocals).

Source: Model selection for deep audio source separation via clustering analysis

Papers

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Showing 51–75 of 112 papers

TitleStatusHype
Densely Connected Multi-Dilated Convolutional Networks for Dense Prediction TasksCode0
Parallel and Flexible Sampling from Autoregressive Models via Langevin DynamicsCode1
Move2Hear: Active Audio-Visual Source Separation—0
Sampling-Frequency-Independent Audio Source Separation Using Convolution Layer Based on Impulse Invariant MethodCode0
MULTIMODAL ANALYSIS: Informed content estimation and audio source separation—0
Differentiable Model Compression via Pseudo Quantization NoiseCode1
Weakly-supervised Audio-visual Sound Source Detection and Separation—0
Compute and memory efficient universal sound source separationCode1
Music source separation conditioned on 3D point cloudsCode0
Directional Sparse Filtering using Weighted Lehmer Mean for Blind Separation of Unbalanced Speech MixturesCode1
Densely connected multidilated convolutional networks for dense prediction tasks—0
Problems using deep generative models for probabilistic audio source separation—0
Unified Gradient Reweighting for Model Biasing with Applications to Source SeparationCode1
A Study of Transfer Learning in Music Source Separation—0
Towards Listening to 10 People Simultaneously: An Efficient Permutation Invariant Training of Audio Source Separation Using Sinkhorn's Algorithm—0
Fast accuracy estimation of deep learning based multi-class musical source separation—0
The Cone of Silence: Speech Separation by LocalizationCode1
Adversarial attacks on audio source separation—0
Structure and Automatic Segmentation of Dhrupad Vocal Bandish Audio—0
AutoClip: Adaptive Gradient Clipping for Source Separation NetworksCode1
Sudo rm -rf: Efficient Networks for Universal Audio Source SeparationCode1
OtoWorld: Towards Learning to Separate by Learning to MoveCode1
Unsupervised Audio Source Separation using Generative PriorsCode1
Time-Domain Audio Source Separation Based on Wave-U-Net Combined with Discrete Wavelet TransformCode1
Cooperative Audio Source Separation and Enhancement Using Distributed Microphone Arrays and Wearable Devices—0
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All datasetsAudioSetMUSIC (multi-source)

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ST-SED-SEPSDR10.55—Unverified
2Co-SeparationSDR4.26—Unverified
#ModelMetricClaimedVerifiedStatus
1Co-SeparationSAR11.3—Unverified