Papers with Code 아카이브
Speech Enhancement
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Speech Enhancement is a signal processing task that involves improving the quality of speech signals captured under noisy or degraded conditions. The goal of speech enhancement is to make speech signals clearer, more intelligible, and more pleasant to listen to, which can be used for various applications such as voice recognition, teleconferencing, and hearing aids. A representative Github project with online demo : ClearerVoice-Studio.
<span style="color:grey; opacity: 0.6">( Image credit: A Fully Convolutional Neural Network For Speech Enhancement )</span>
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/MKegler/SpeechVGG
Word-level Embeddings for Cross-Task Transfer Learning in Speech Processing
https://github.com/MS-P3/code4/tree/main/HiFI
HiFi++: a Unified Framework for Bandwidth Extension and Speech Enhancement
https://github.com/MS-P3/code5/tree/main/bloom
https://github.com/MartinBuessemeyer/Artistic-Texture-Control
Perceptual Losses for Real-Time Style Transfer and Super-Resolution
https://github.com/MattSegal/speech-enhancement
https://github.com/MatteoBrentegani/PPO
https://github.com/MaximeVandegar/Papers-in-100-Lines-of-Code/tree/main/Proximal_Policy_Optimization_Algorithms
https://github.com/Michaelrising/Prog-RL
https://github.com/MindCode-4/code-13/tree/main/WaveCRN-master
WaveCRN: An Efficient Convolutional Recurrent Neural Network for End-to-end Speech Enhancement
https://github.com/MindCode-4/code-14/tree/main/Zero-DCE%2B%2B
Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement
https://github.com/MindSpore-paper-code-2/code400/tree/main/EDSR
https://github.com/MindSpore-scientific-2/code-1/tree/main/ZoneoutRNN
RNNoise-Ex: Hybrid Speech Enhancement System based on RNN and Spectral Features
https://github.com/MindSpore-scientific/code-10/tree/main/ZoneoutRNN
RNNoise-Ex: Hybrid Speech Enhancement System based on RNN and Spectral Features
https://github.com/MindSpore-scientific/code-13/tree/main/Last-Query-Transformer-RNN
RNNoise-Ex: Hybrid Speech Enhancement System based on RNN and Spectral Features
https://github.com/MindSpore-scientific/code-2/tree/main/WaveCRN-master
WaveCRN: An Efficient Convolutional Recurrent Neural Network for End-to-end Speech Enhancement
https://github.com/MindSpore-scientific/code-6/tree/main/Neural-Network-based-Speech-Enhancement
Weighted Speech Distortion Losses for Neural-network-based Real-time Speech Enhancement
https://github.com/MindSpore-scientific/code-9/tree/main/Zero-DCE%2B%2B
Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement
https://github.com/MrSyee/pg-is-all-you-need
https://github.com/MyParadise21/Mamba-SEUNet
https://github.com/NACLab/robust-active-inference
https://github.com/Narsil/rl-baselines
https://github.com/NervanaSystems/coach
https://github.com/Nordeus/heroic-rl
https://github.com/OctThe16th/PPO-Keras
https://github.com/OctopusMind/RLHF_PPO
https://github.com/Ostyk/walk-bot
https://github.com/PetruninAlex/Sketch2Real
Perceptual Losses for Real-Time Style Transfer and Super-Resolution
https://github.com/RArbore/Deep-Learning-Hearing-Aid
https://github.com/Rafael1s/Deep-Reinforcement-Learning-Udacity
https://github.com/RaphaelOlivier/gard_eval2_public
https://github.com/RusselZHANG/Microphone-Array-Generalization-for-Multichannel-Narrowband-Deep-Speech-Enhancement
Microphone Array Generalization for Multichannel Narrowband Deep Speech Enhancement
https://github.com/SKb10/SE_dwt_ISCSLP_2018
https://github.com/SPark9625/PyTorch-Proximal-Policy-Optimization
https://github.com/SalvatoreCognetta/reasoning-agent-project
https://github.com/Stippler/cow-simulator
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.