Papers with Code 아카이브
Audio Generation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 4
- 평가표
- 3
- 보존된 평가 기록
- 26
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/Mind23-2/MindCode-3/tree/main/MCNN
Assisted Sound Sample Generation with Musical Conditioning in Adversarial Auto-Encoders
https://github.com/MindCode-4/code-11/tree/main/factorized-attention
https://github.com/MindCode-4/code-5/tree/main/wavlm
https://github.com/MindSpore-scientific/code-11/tree/main/text-to-music
https://github.com/MugheesQasim/Voice-Cloning
Transfer Learning from Speaker Verification to Multispeaker Text-To-Speech Synthesis
https://github.com/MurreyCode/wavegan
https://github.com/NVIDIA/elucidated-text-to-audio
https://github.com/PaddlePaddle/DeepSpeech
https://github.com/PeihaoChen/regnet
https://github.com/PhilippeNguyen/keras_wavenet
https://github.com/RamsteinWR/wavenet-master
https://github.com/RoganInglis/AudioLM
https://github.com/RuntimeRacer/rtvc-gcloud
Transfer Learning from Speaker Verification to Multispeaker Text-To-Speech Synthesis
https://github.com/Salazar-99/Gravitational-WaveNet
https://github.com/SforAiDl/Neural-Voice-Cloning-With-Few-Samples
https://github.com/ShaunBarry/wavegan
https://github.com/ShichengChen/WaveNetSeparateAudio
https://github.com/Shivendra-psc/speechbot
https://github.com/ShotDownDiane/tcn-master
https://github.com/ShuSQ/CCI_AP_PoseLoops
https://github.com/SilverEngineered/WaveGan
https://github.com/Suhee05/Text-Independent-Speaker-Verification
Transfer Learning from Speaker Verification to Multispeaker Text-To-Speech Synthesis
https://github.com/Talk2Levi/DJL
https://github.com/TanUkkii007/wavenet
https://github.com/TrizteX/Audio-SuperRes
https://github.com/Vikas-Sony/speech-to-text
https://github.com/WLM1ke/poptimizer
https://github.com/Yotsuyubi/wave-nr-gan
https://github.com/YuvalBecker/MelNet
MelNet: A Generative Model for Audio in the Frequency Domain
https://github.com/YuvalBecker/MelNet-Tensorflow
MelNet: A Generative Model for Audio in the Frequency Domain
https://github.com/ZTianle/keras-tcn-solar
https://github.com/ZhangXInFD/soundstorm-speechtokenizer
https://github.com/ZhouYuxuanYX/Wavenet-in-Keras-for-Kaggle-Competition-Web-Traffic-Time-Series-Forecasting
https://github.com/acappemin/video-to-audio-and-piano
https://github.com/adityaagrawal7/speech-to-text-wavenet
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.