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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.
Perceptual-based deep-learning denoiser as a defense against adversarial attacks on ASR systems
Incorporating Multi-Target in Multi-Stage Speech Enhancement Model for Better Generalization
Zero-Shot Personalized Speech Enhancement through Speaker-Informed Model Selection
Speech Denoising Without Clean Training Data: A Noise2Noise Approach
Learning robust speech representation with an articulatory-regularized variational autoencoder
TSTNN: Two-stage Transformer based Neural Network for Speech Enhancement in the Time Domain
A Modulation-Domain Loss for Neural-Network-based Real-time Speech Enhancement
Monaural Speech Enhancement with Complex Convolutional Block Attention Module and Joint Time Frequency Losses
Visual Speech Enhancement Without A Real Visual Stream
Speech Denoising with Auditory Models
Improving Speech Enhancement Performance by Leveraging Contextual Broad Phonetic Class Information
Perceptual Loss based Speech Denoising with an ensemble of Audio Pattern Recognition and Self-Supervised Models
Listening to Sounds of Silence for Speech Denoising
Phase-aware Single-stage Speech Denoising and Dereverberation with U-Net
Sparse Mixture of Local Experts for Efficient Speech Enhancement
Simultaneous Denoising and Dereverberation Using Deep Embedding Features
WaveCRN: An Efficient Convolutional Recurrent Neural Network for End-to-end Speech Enhancement
A Review of Multi-Objective Deep Learning Speech Denoising Methods
Boosted Locality Sensitive Hashing: Discriminative Binary Codes for Source Separation
AeGAN: Time-Frequency Speech Denoising via Generative Adversarial Networks
Speech Denoising by Accumulating Per-Frequency Modeling Fluctuations
Speech denoising by parametric resynthesis
Speech Denoising with Deep Feature Losses
Deep Speech Denoising with Vector Space Projections
Supervised and Unsupervised Speech Enhancement Using Nonnegative Matrix Factorization
Joint Optimization of Masks and Deep Recurrent Neural Networks for Monaural Source Separation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.