SOTAVerified

Speech Denoising

Obtain the clean speech of the target speaker by suppressing the background noise. Recent representative github platform ClearerVoice-Studio

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 26–50 of 65 papers

TitleStatusHype
An Investigation of Noise Robustness for Flow-Matching-Based Zero-Shot TTS—0
Are Deep Speech Denoising Models Robust to Adversarial Noise?—0
A Review of Multi-Objective Deep Learning Speech Denoising Methods—0
CleanUNet 2: A Hybrid Speech Denoising Model on Waveform and Spectrogram—0
Complexity Scaling for Speech Denoising—0
Deep Speech Denoising with Vector Space Projections—0
DENOASR: Debiasing ASRs through Selective Denoising—0
FB-MSTCN: A Full-Band Single-Channel Speech Enhancement Method Based on Multi-Scale Temporal Convolutional Network—0
Incorporating Multi-Target in Multi-Stage Speech Enhancement Model for Better Generalization—0
Knowledge Distillation for Speech Denoising by Latent Representation Alignment with Cosine Distance—0
Learning robust speech representation with an articulatory-regularized variational autoencoder—0
Multi-Channel Speech Denoising for Machine Ears—0
Perceptual-based deep-learning denoiser as a defense against adversarial attacks on ASR systems—0
AeGAN: Time-Frequency Speech Denoising via Generative Adversarial Networks—0
aTENNuate: Optimized Real-time Speech Enhancement with Deep SSMs on Raw Audio—0
Schrödinger Bridge for Generative Speech Enhancement—0
S-DCCRN: Super Wide Band DCCRN with learnable complex feature for speech enhancement—0
Simultaneous Denoising and Dereverberation Using Deep Embedding Features—0
Improving Speech Enhancement Performance by Leveraging Contextual Broad Phonetic Class Information—0
Speech Enhancement with Multi-granularity Vector Quantization—0
Super Denoise Net: Speech Super Resolution with Noise Cancellation in Low Sampling Rate Noisy Environments—0
Target Speech Extraction with Conditional Diffusion Model—0
The PCG-AIID System for L3DAS22 Challenge: MIMO and MISO convolutional recurrent Network for Multi Channel Speech Enhancement and Speech Recognition—0
TouchTTS: An Embarrassingly Simple TTS Framework that Everyone Can Touch—0
TSTNN: Two-stage Transformer based Neural Network for Speech Enhancement in the Time Domain—0
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All datasetsLRS2+VGGSoundLRS3+VGGSound

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CBAK2.41—Unverified
#ModelMetricClaimedVerifiedStatus
1CBAK2.47—Unverified