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Speech Separation On Wham

Metrics

SI-SDRi

Results

Performance results of various models on this benchmark

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