HyperAI
AccueilActualitésArticles de recherche récentsTutorielsEnsembles de donnéesWikiSOTAModèles LLMClassement GPUÉvénements
Recherche
À propos
HyperAI

Speech Separation On Wham

Métriques

SI-SDRi

Résultats

Résultats de performance de divers modèles sur ce benchmark

Nom du modèle
SI-SDRi
Paper TitleRepository
TDANet Large15.2An efficient encoder-decoder architecture with top-down attention for speech separation
WHYV12.964An alternative Approach in Voice Extraction-
MossFormer (L) + DM17.3MossFormer: Pushing the Performance Limit of Monaural Speech Separation using Gated Single-Head Transformer with Convolution-Augmented Joint Self-Attentions
TDANet14.8An efficient encoder-decoder architecture with top-down attention for speech separation
MossFormer218.1MossFormer2: Combining Transformer and RNN-Free Recurrent Network for Enhanced Time-Domain Monaural Speech Separation
SepReformer-L + DM18.4Separate and Reconstruct: Asymmetric Encoder-Decoder for Speech Separation
0 of 6 row(s) selected.