MambAttention: Mamba with Multi-Head Attention for Generalizable Single-Channel Speech Enhancement

Benchmark Model Rank Results
speech-enhancement-on-deep-noise-suppressionMambAttention#2PESQ-WB: 3.671SI-SDR-WB: 21.234Number of parameters (M): 2.33
speech-enhancement-on-deep-noise-suppressionxLSTM-SENet#4PESQ-WB: 3.588SI-SDR-WB: 20.854Number of parameters (M): 2.20
speech-enhancement-on-vb-demandexMambAttention#1ESTOI: 0.801Number of parameters (M): 2.33PESQ (wb): 3.026
speech-enhancement-on-vb-demandexSEMamba#2ESTOI: 0.800Number of parameters (M): 2.25PESQ (wb): 3.002
speech-enhancement-on-vb-demandexxLSTM-SENet#3ESTOI: 0.795Number of parameters (M): 2.20PESQ (wb): 2.973
speech-enhancement-on-vb-demandexMP-SENet#4ESTOI: 0.787Number of parameters (M): 2.05PESQ (wb): 2.935