HyperAI초신경

Speech Enhancement On Demand

평가 지표

PESQ (wb)
Para. (M)

평가 결과

이 벤치마크에서 각 모델의 성능 결과

모델 이름
PESQ (wb)
Para. (M)
Paper TitleRepository
D2Former3.430.86Monaural Speech Enhancement with Complex Convolutional Block Attention Module and Joint Time Frequency Losses
DeepFilterNet33.17-DeepFilterNet: Perceptually Motivated Real-Time Speech Enhancement
Centaurus (0.51M)3.25-Let SSMs be ConvNets: State-space Modeling with Optimal Tensor Contractions-
PCS3.35-Perceptual Contrast Stretching on Target Feature for Speech Enhancement
MetricGAN-OKD3.241.89MetricGAN-OKD: Multi-Metric Optimization of MetricGAN via Online Knowledge Distillation for Speech Enhancement
SGMSE+3.11-An Analysis of the Variance of Diffusion-based Speech Enhancement-
RDL-Net 1.87M (Deep Xi - MMSE-LSA)2.93-Deep Residual-Dense Lattice Network for Speech Enhancement
PESQetarian3.8230The PESQetarian: On the Relevance of Goodhart's Law for Speech Enhancement-
ZipEnhancer (S, lamba_6 = 0.2)3.612.04--
MANNER3.21-MANNER: Multi-view Attention Network for Noise Erasure
Dense-TSNet3.050.014Dense-TSNet: Dense Connected Two-Stage Structure for Ultra-Lightweight Speech Enhancement-
SEMamba (+PCS)3.692.25An Investigation of Incorporating Mamba for Speech Enhancement
ROSE3.0136.98ROSE: A Recognition-Oriented Speech Enhancement Framework in Air Traffic Control Using Multi-Objective Learning
xLSTM-SENet23.532.27xLSTM-SENet: xLSTM for Single-Channel Speech Enhancement
SCP-CMGAN3.52-SCP-GAN: Self-Correcting Discriminator Optimization for Training Consistency Preserving Metric GAN on Speech Enhancement Tasks-
aTENNuate3.27-Real-time Speech Enhancement on Raw Signals with Deep State-space Modeling-
SGMSE+ (Diffusion Model)2.93-Speech Enhancement and Dereverberation with Diffusion-based Generative Models
real-time-GRU2.82-A Modulation-Domain Loss for Neural-Network-based Real-time Speech Enhancement
ZipEnhancer (S, lamba_6 = 0)3.632.04--
MANNER-S + MV-AT (8.1GF)3.121.38Multi-View Attention Transfer for Efficient Speech Enhancement-
0 of 40 row(s) selected.