HyperAI

Speech Enhancement On Deep Noise Suppression

المقاييس

PESQ-WB
SI-SDR-WB

النتائج

نتائج أداء النماذج المختلفة على هذا المعيار القياسي

اسم النموذج
PESQ-WB
SI-SDR-WB
Paper TitleRepository
BSRNN-S3.4221.3High Fidelity Speech Enhancement with Band-split RNN
Noisy1.589.1--
RemixIT (w Sudo U=32)2.3416.0RemixIT: Continual self-training of speech enhancement models via bootstrapped remixing
SN-Net--Interactive Speech and Noise Modeling for Speech Enhancement-
Sudo rm -rf (U=32)2.9519.7RemixIT: Continual self-training of speech enhancement models via bootstrapped remixing
ZipEnhancer (S)3.6921.15--
aTENNuate2.98-Real-time Speech Enhancement on Raw Signals with Deep State-space Modeling-
BSRNN-S + MGD-21.4High Fidelity Speech Enhancement with Band-split RNN
DCTCRN-S2.77-Real-time Monaural Speech Enhancement With Short-time Discrete Cosine Transform-
MFNET3.4320.31A Mask Free Neural Network for Monaural Speech Enhancement
BSRNN-16k3.4521.1High Fidelity Speech Enhancement with Band-split RNN
ZipEnhancer (M)3.8122.22--
DCTCRN-P2.82-Real-time Monaural Speech Enhancement With Short-time Discrete Cosine Transform-
TF-Locoformer (M)3.7223.3TF-Locoformer: Transformer with Local Modeling by Convolution for Speech Separation and Enhancement
DCCRN-E-Aug--DCCRN: Deep Complex Convolution Recurrent Network for Phase-Aware Speech Enhancement
FRCRN3.23-Monaural Speech Enhancement with Complex Convolutional Block Attention Module and Joint Time Frequency Losses
DTLN-16.34Dual-Signal Transformation LSTM Network for Real-Time Noise Suppression
FullSubNet+3.21816.81FullSubNet+: Channel Attention FullSubNet with Complex Spectrograms for Speech Enhancement
DCTCRN-T2.82-Real-time Monaural Speech Enhancement With Short-time Discrete Cosine Transform-
Sudo rm-rf (U=8)2.6918.6Continual self-training with bootstrapped remixing for speech enhancement
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