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Speech Separation
Speech Separation On Wham
Speech Separation On Wham
Metrics
SI-SDRi
Results
Performance results of various models on this benchmark
Columns
Model Name
SI-SDRi
Paper Title
Repository
TDANet Large
15.2
An efficient encoder-decoder architecture with top-down attention for speech separation
WHYV
12.964
An alternative Approach in Voice Extraction
-
MossFormer (L) + DM
17.3
MossFormer: Pushing the Performance Limit of Monaural Speech Separation using Gated Single-Head Transformer with Convolution-Augmented Joint Self-Attentions
TDANet
14.8
An efficient encoder-decoder architecture with top-down attention for speech separation
MossFormer2
18.1
MossFormer2: Combining Transformer and RNN-Free Recurrent Network for Enhanced Time-Domain Monaural Speech Separation
SepReformer-L + DM
18.4
Separate and Reconstruct: Asymmetric Encoder-Decoder for Speech Separation
0 of 6 row(s) selected.
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