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 1–50 of 65 papers

TitleStatusHype
VoiceFixer: A Unified Framework for High-Fidelity Speech RestorationCode3
WavLM: Large-Scale Self-Supervised Pre-Training for Full Stack Speech ProcessingCode3
Towards Ultra-Low-Power Neuromorphic Speech Enhancement with Spiking-FullSubNetCode2
Explicit Estimation of Magnitude and Phase Spectra in Parallel for High-Quality Speech EnhancementCode2
CMGAN: Conformer-Based Metric-GAN for Monaural Speech EnhancementCode2
FRA-RIR: Fast Random Approximation of the Image-source MethodCode2
Speech Denoising in the Waveform Domain with Self-AttentionCode2
Monaural Speech Enhancement with Complex Convolutional Block Attention Module and Joint Time Frequency LossesCode2
CleanUMamba: A Compact Mamba Network for Speech Denoising using Channel PruningCode1
Miipher: A Robust Speech Restoration Model Integrating Self-Supervised Speech and Text RepresentationsCode1
BirdSoundsDenoising: Deep Visual Audio Denoising for Bird SoundsCode1
Self-Supervised Speech Denoising Using Only Noisy Audio SignalsCode1
Speech Denoising Without Clean Training Data: A Noise2Noise ApproachCode1
A Modulation-Domain Loss for Neural-Network-based Real-time Speech EnhancementCode1
Visual Speech Enhancement Without A Real Visual StreamCode1
Speech Denoising with Auditory ModelsCode1
Listening to Sounds of Silence for Speech DenoisingCode1
WaveCRN: An Efficient Convolutional Recurrent Neural Network for End-to-end Speech EnhancementCode1
Speech Denoising by Accumulating Per-Frequency Modeling FluctuationsCode1
Speech Denoising with Deep Feature LossesCode1
Active Speech Enhancement: Active Speech Denoising Decliping and Deveraberation—0
Knowledge Distillation for Speech Denoising by Latent Representation Alignment with Cosine Distance—0
Are Deep Speech Denoising Models Robust to Adversarial Noise?—0
Let SSMs be ConvNets: State-space Modeling with Optimal Tensor ContractionsCode0
TouchTTS: An Embarrassingly Simple TTS Framework that Everyone Can Touch—0
DENOASR: Debiasing ASRs through Selective Denoising—0
Generative Speech Foundation Model Pretraining for High-Quality Speech Extraction and RestorationCode0
aTENNuate: Optimized Real-time Speech Enhancement with Deep SSMs on Raw Audio—0
Schrödinger Bridge for Generative Speech Enhancement—0
An Investigation of Noise Robustness for Flow-Matching-Based Zero-Shot TTS—0
Super Denoise Net: Speech Super Resolution with Noise Cancellation in Low Sampling Rate Noisy Environments—0
uSee: Unified Speech Enhancement and Editing with Conditional Diffusion Models—0
Complexity Scaling for Speech Denoising—0
CleanUNet 2: A Hybrid Speech Denoising Model on Waveform and Spectrogram—0
Target Speech Extraction with Conditional Diffusion Model—0
A Multi-Stage Triple-Path Method for Speech Separation in Noisy and Reverberant Environments—0
Speech Enhancement with Multi-granularity Vector Quantization—0
Analysing Diffusion-based Generative Approaches versus Discriminative Approaches for Speech RestorationCode0
Speech Dereverberation with a Reverberation Time Shortening TargetCode0
Speech Dereverberation with A Reverberation Time Shortening Target—0
FB-MSTCN: A Full-Band Single-Channel Speech Enhancement Method Based on Multi-Scale Temporal Convolutional Network—0
The PCG-AIID System for L3DAS22 Challenge: MIMO and MISO convolutional recurrent Network for Multi Channel Speech Enhancement and Speech Recognition—0
Multi-Channel Speech Denoising for Machine Ears—0
Task-specific Optimization of Virtual Channel Linear Prediction-based Speech Dereverberation Front-End for Far-Field Speaker VerificationCode0
S-DCCRN: Super Wide Band DCCRN with learnable complex feature for speech enhancement—0
Spark Deficient Gabor Frames for Inverse Problems—0
Perceptual-based deep-learning denoiser as a defense against adversarial attacks on ASR systems—0
Incorporating Multi-Target in Multi-Stage Speech Enhancement Model for Better Generalization—0
Zero-Shot Personalized Speech Enhancement through Speaker-Informed Model Selection—0
Learning robust speech representation with an articulatory-regularized variational autoencoder—0
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All datasetsLRS2+VGGSoundLRS3+VGGSound

Benchmark Results

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