https://github.com/NVIDIA/NeMo
공식 코드Generative Speech Foundation Model Pretraining for High-Quality Speech Extraction and Restoration
Papers with Code 아카이브
Bandwidth Extension
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Bandwidth extension is the task of expanding the bandwidth of a signal in a way that approximates the original or desired higher bandwidth signal.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/andreevp/wvmos
공식 코드HiFi++: a Unified Framework for Bandwidth Extension and Speech Enhancement
https://github.com/eloimoliner/babe2
공식 코드A Diffusion-Based Generative Equalizer for Music Restoration
https://github.com/eloimoliner/bwe_historical_recordings
공식 코드BEHM-GAN: Bandwidth Extension of Historical Music using Generative Adversarial Networks
https://github.com/eloimoliner/cqtdiff
공식 코드https://github.com/haoheliu/ssr_eval
공식 코드https://github.com/jhauret/eben
공식 코드https://github.com/jhauret/vibravox
공식 코드Vibravox: A Dataset of French Speech Captured with Body-conduction Audio Sensors
https://github.com/nxtproduct/tunet
공식 코드https://github.com/serkansulun/deep-music-enhancer
공식 코드On Filter Generalization for Music Bandwidth Extension Using Deep Neural Networks
https://github.com/slp-rl/aero
공식 코드https://github.com/yxlu-0102/AP-BWE
공식 코드https://github.com/Adk2001tech/GAN-Image-Super-Resolution
Super-Resolution with Deep Convolutional Sufficient Statistics
https://github.com/MS-P3/code4/tree/main/HiFI
HiFi++: a Unified Framework for Bandwidth Extension and Speech Enhancement
https://github.com/google/lyra
https://github.com/kyutai-labs/moshi
https://github.com/rishikksh20/HiFiplusplus-pytorch
HiFi++: a Unified Framework for Bandwidth Extension and Speech Enhancement
https://github.com/serkansulun/deep-music-enhancement
On Filter Generalization for Music Bandwidth Extension Using Deep Neural Networks
https://github.com/sp-uhh/sgmse
https://github.com/xinan-chen/AP_BWE
https://github.com/yxlu-0102/MP-SENet
Explicit Estimation of Magnitude and Phase Spectra in Parallel for High-Quality Speech Enhancement
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.