SOTAVerified

Speech Denoising

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

Papers

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Showing 1–50 of 65 papers

TitleStatusHype
WavLM: Large-Scale Self-Supervised Pre-Training for Full Stack Speech ProcessingCode3
VoiceFixer: A Unified Framework for High-Fidelity Speech RestorationCode3
Speech Denoising in the Waveform Domain with Self-AttentionCode2
CMGAN: Conformer-Based Metric-GAN for Monaural Speech EnhancementCode2
Monaural Speech Enhancement with Complex Convolutional Block Attention Module and Joint Time Frequency LossesCode2
Explicit Estimation of Magnitude and Phase Spectra in Parallel for High-Quality Speech EnhancementCode2
FRA-RIR: Fast Random Approximation of the Image-source MethodCode2
Towards Ultra-Low-Power Neuromorphic Speech Enhancement with Spiking-FullSubNetCode2
Speech Denoising with Deep Feature LossesCode1
BirdSoundsDenoising: Deep Visual Audio Denoising for Bird SoundsCode1
Speech Denoising with Auditory ModelsCode1
Self-Supervised Speech Denoising Using Only Noisy Audio SignalsCode1
WaveCRN: An Efficient Convolutional Recurrent Neural Network for End-to-end Speech EnhancementCode1
Speech Denoising Without Clean Training Data: A Noise2Noise ApproachCode1
Listening to Sounds of Silence for Speech DenoisingCode1
CleanUMamba: A Compact Mamba Network for Speech Denoising using Channel PruningCode1
Miipher: A Robust Speech Restoration Model Integrating Self-Supervised Speech and Text RepresentationsCode1
Visual Speech Enhancement Without A Real Visual StreamCode1
A Modulation-Domain Loss for Neural-Network-based Real-time Speech EnhancementCode1
Speech Denoising by Accumulating Per-Frequency Modeling FluctuationsCode1
Speech Dereverberation with A Reverberation Time Shortening Target—0
Spark Deficient Gabor Frames for Inverse Problems—0
Speech denoising by parametric resynthesis—0
Zero-Shot Personalized Speech Enhancement through Speaker-Informed Model Selection—0
A Multi-Stage Triple-Path Method for Speech Separation in Noisy and Reverberant Environments—0
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