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Speech Denoising
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Obtain the clean speech of the target speaker by suppressing the background noise. Recent representative github platform ClearerVoice-Studio
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Knowledge Distillation for Speech Denoising by Latent Representation Alignment with Cosine Distance
Are Deep Speech Denoising Models Robust to Adversarial Noise?
Let SSMs be ConvNets: State-space Modeling with Optimal Tensor Contractions
TouchTTS: An Embarrassingly Simple TTS Framework that Everyone Can Touch
DENOASR: Debiasing ASRs through Selective Denoising
CleanUMamba: A Compact Mamba Network for Speech Denoising using Channel Pruning
Towards Ultra-Low-Power Neuromorphic Speech Enhancement with Spiking-FullSubNet
Generative Speech Foundation Model Pretraining for High-Quality Speech Extraction and Restoration
aTENNuate: Optimized Real-time Speech Enhancement with Deep SSMs on Raw Audio
Schrödinger Bridge for Generative Speech Enhancement
An Investigation of Noise Robustness for Flow-Matching-Based Zero-Shot TTS
Super Denoise Net: Speech Super Resolution with Noise Cancellation in Low Sampling Rate Noisy Environments
uSee: Unified Speech Enhancement and Editing with Conditional Diffusion Models
Complexity Scaling for Speech Denoising
CleanUNet 2: A Hybrid Speech Denoising Model on Waveform and Spectrogram
Explicit Estimation of Magnitude and Phase Spectra in Parallel for High-Quality Speech Enhancement
Target Speech Extraction with Conditional Diffusion Model
A Multi-Stage Triple-Path Method for Speech Separation in Noisy and Reverberant Environments
Miipher: A Robust Speech Restoration Model Integrating Self-Supervised Speech and Text Representations
Speech Enhancement with Multi-granularity Vector Quantization
Analysing Diffusion-based Generative Approaches versus Discriminative Approaches for Speech Restoration
Speech Dereverberation with a Reverberation Time Shortening Target
BirdSoundsDenoising: Deep Visual Audio Denoising for Bird Sounds
CMGAN: Conformer-Based Metric-GAN for Monaural Speech Enhancement
FRA-RIR: Fast Random Approximation of the Image-source Method
Speech Dereverberation with A Reverberation Time Shortening Target
VoiceFixer: A Unified Framework for High-Fidelity Speech Restoration
FB-MSTCN: A Full-Band Single-Channel Speech Enhancement Method Based on Multi-Scale Temporal Convolutional Network
The PCG-AIID System for L3DAS22 Challenge: MIMO and MISO convolutional recurrent Network for Multi Channel Speech Enhancement and Speech Recognition
Multi-Channel Speech Denoising for Machine Ears
Speech Denoising in the Waveform Domain with Self-Attention
Task-specific Optimization of Virtual Channel Linear Prediction-based Speech Dereverberation Front-End for Far-Field Speaker Verification
S-DCCRN: Super Wide Band DCCRN with learnable complex feature for speech enhancement
Self-Supervised Speech Denoising Using Only Noisy Audio Signals
WavLM: Large-Scale Self-Supervised Pre-Training for Full Stack Speech Processing
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.