https://github.com/xirongc/watermark-audio-diffusion
공식 코드Invisible Watermarking for Audio Generation Diffusion Models
Papers with Code 아카이브
Audio Generation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
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- 평가표
- 3
- 보존된 평가 기록
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Audio generation (synthesis) is the task of generating raw audio such as speech.
<span style="color:grey; opacity: 0.6">( Image credit: MelNet )</span>
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/yazidjanati/cfgig
공식 코드Conditional Diffusion Models with Classifier-Free Gibbs-like Guidance
https://github.com/yluo42/fra-rir
공식 코드FRA-RIR: Fast Random Approximation of the Image-source Method
https://github.com/youngsheen/gpst
공식 코드Generative Pre-trained Speech Language Model with Efficient Hierarchical Transformer
https://github.com/yuanshi9815/litefocus
공식 코드LiteFocus: Accelerated Diffusion Inference for Long Audio Synthesis
https://github.com/yuhanghe01/ritta
공식 코드https://github.com/yujxx/podagent
공식 코드https://github.com/yuriak/SpeechDialogueFactory
공식 코드https://github.com/zhang-wy15/Attack_practical_asv
공식 코드Attack on practical speaker verification system using universal adversarial perturbations
https://github.com/zhenye234/xcodec
공식 코드Codec Does Matter: Exploring the Semantic Shortcoming of Codec for Audio Language Model
https://github.com/2023-MindSpore-1/ms-code-15/tree/main/wavenet
https://github.com/AI-Huang/WaveNet
https://github.com/Amuzak-NTL/ASR-for-Speech-Recog
https://github.com/Baichenjia/Tensorflow-TCN
https://github.com/Chasm4359/ProTS
https://github.com/CorentinJ/Real-Time-Voice-Cloning
Transfer Learning from Speaker Verification to Multispeaker Text-To-Speech Synthesis
https://github.com/DBraun/DAC-JAX
https://github.com/DavidDiazGuerra/Cross3D
gpuRIR: A python library for Room Impulse Response simulation with GPU acceleration
https://github.com/DevonFulcher/CryptoPricePredictor
https://github.com/DragonLiu1995/xRIR_code
https://github.com/FunAudioLLM/ThinkSound
https://github.com/GNovich/Talk2Me
Transfer Learning from Speaker Verification to Multispeaker Text-To-Speech Synthesis
https://github.com/Gal1eo/DT2119
https://github.com/HaiFengZeng/clari_wavenet_vocoder
https://github.com/HsiehKang/wavenet/blob/main/wavenet.ipynb
https://github.com/IAHispano/Applio
https://github.com/IAHispano/Applio/tree/exp/vocoders/rvc/lib/algorithm
BigVGAN: A Universal Neural Vocoder with Large-Scale Training
https://github.com/IBM/MAX-Audio-Sample-Generator
https://github.com/Ipsedo/MusicDiffusion
https://github.com/Ipsedo/MusicDiffusionModel
https://github.com/Ipsedo/MusicGAN
https://github.com/Jeevesh8/Cross-Lingual-Voice-Cloning
https://github.com/LEChaney/AudioStyleGAN
https://github.com/LucaHermes/lightweight-motion-forecasting
https://github.com/MS-P3/code4/tree/main/HiFI
HiFi++: a Unified Framework for Bandwidth Extension and Speech Enhancement
https://github.com/MSRDL/Deep4Cast
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.