Speech Separation On Libri2Mix

Métriques

SI-SDRi

Résultats

Résultats de performance de divers modèles sur ce benchmark

		Paper Title
MossFormer2 (w speed perturb)	22.2	MossFormer2: Combining Transformer and RNN-Free Recurrent Network for Enhanced Time-Domain Monaural Speech Separation
TF-Locoformer (M)	22.1	TF-Locoformer: Transformer with Local Modeling by Convolution for Speech Separation and Enhancement
MossFormer2 (w/o DM)	21.7	MossFormer2: Combining Transformer and RNN-Free Recurrent Network for Enhanced Time-Domain Monaural Speech Separation
Separate And Diffuse	21.5	Separate And Diffuse: Using a Pretrained Diffusion Model for Improving Source Separation
WHYV	17.5	An alternative Approach in Voice Extraction
TDANet Large	17.4	An efficient encoder-decoder architecture with top-down attention for speech separation
TDANet	16.9	An efficient encoder-decoder architecture with top-down attention for speech separation
Conv-Tasnet (Libri1Mix speech enhancement pre-trained)	14.1	Stabilizing Label Assignment for Speech Separation by Self-supervised Pre-training
Conv-Tasnet (Libri1Mix speech enhancement multi-task)	13.7	Stabilizing Label Assignment for Speech Separation by Self-supervised Pre-training
Conv-Tasnet	13.2	Stabilizing Label Assignment for Speech Separation by Self-supervised Pre-training

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Speech Separation On Libri2Mix | SOTA | HyperAI