https://github.com/MattSegal/speech-enhancement
MelGAN: Generative Adversarial Networks for Conditional Waveform Synthesis
Papers with Code 아카이브
Speech Synthesis
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 15
- 평가표
- 5
- 보존된 평가 기록
- 31
Speech synthesis is the task of generating speech from some other modality like text, lip movements etc.
Please note that the leaderboards here are not really comparable between studies - as they use mean opinion score as a metric and collect different samples from Amazon Mechnical Turk.
<span style="color:grey; opacity: 0.6">( Image credit: WaveNet: A generative model for raw audio )</span>
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/Mind23-2/MindCode-101/tree/main/IntegralNeuralNetworks
fairseq S^2: A Scalable and Integrable Speech Synthesis Toolkit
https://github.com/Mind23-2/MindCode-3/tree/main/IntegralNeuralNetworks
fairseq S^2: A Scalable and Integrable Speech Synthesis Toolkit
https://github.com/MindCode-4/code-1/tree/main/univnet
https://github.com/MindCode-4/code-11/tree/main/Duration-Informed-Attention-Network
DurIAN: Duration Informed Attention Network For Multimodal Synthesis
https://github.com/MindCode-4/code-13/tree/main/RawNet
https://github.com/MindCode-4/code-5/tree/main/univnet
https://github.com/MindCode-4/code-5/tree/main/wavlm
https://github.com/MindCode-4/code-6/tree/main/Duration-Informed-Attention-Network
DurIAN: Duration Informed Attention Network For Multimodal Synthesis
https://github.com/MindSpore-paper-code-2/code399/tree/main/wavenet
https://github.com/MindSpore-paper-code-2/code400/tree/main/LPCNet
Neural Speech Synthesis on a Shoestring: Improving the Efficiency of LPCNet
https://github.com/MindSpore-paper-code-2/code400/tree/main/Tacotron2
Natural TTS Synthesis by Conditioning WaveNet on Mel Spectrogram Predictions
https://github.com/MindSpore-paper-code-3/code2/tree/main/convnext
https://github.com/Mixergi/MelGAN
MelGAN: Generative Adversarial Networks for Conditional Waveform Synthesis
https://github.com/Moon-sung-woo/ParallelWaveGan_korean
MelGAN: Generative Adversarial Networks for Conditional Waveform Synthesis
https://github.com/MugheesQasim/Voice-Cloning
Transfer Learning from Speaker Verification to Multispeaker Text-To-Speech Synthesis
https://github.com/Munna-Manoj/Team6_FastSpeech2_TTS
https://github.com/NVIDIA/DeepLearningExamples
HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis
https://github.com/NVIDIA/nv-wavenet
https://github.com/NVIDIA/radtts
Flowtron: an Autoregressive Flow-based Generative Network for Text-to-Speech Synthesis
https://github.com/NVIDIA/tacotron2
Natural TTS Synthesis by Conditioning WaveNet on Mel Spectrogram Predictions
https://github.com/NVIDIA/waveglow
WaveGlow: A Flow-based Generative Network for Speech Synthesis
https://github.com/NisansaDdS/Some-Languages-are-More-Equal-than-Others
Systematic Inequalities in Language Technology Performance across the World's Languages
https://github.com/OlaWod/my-fastspeech2
FastSpeech 2: Fast and High-Quality End-to-End Text to Speech
https://github.com/OlaWod/my-tacotron2
https://github.com/OlaWod/my-wavernn
https://github.com/PaddlePaddle/DeepSpeech
https://github.com/PaddlePaddle/PaddleSpeech/tree/develop/examples/vctk/ernie_sat
A$^3$T: Alignment-Aware Acoustic and Text Pretraining for Speech Synthesis and Editing
https://github.com/PeihaoChen/regnet
https://github.com/PhilippeNguyen/keras_wavenet
https://github.com/RamsteinWR/wavenet-master
https://github.com/RayeRen/RayeRen
FastSpeech 2: Fast and High-Quality End-to-End Text to Speech
https://github.com/Rayhane-mamah/Tacotron-2
Natural TTS Synthesis by Conditioning WaveNet on Mel Spectrogram Predictions
https://github.com/Rongjiehuang/Multiband-WaveRNN
https://github.com/RotemMayo/NAF
https://github.com/RuntimeRacer/rtvc-gcloud
Transfer Learning from Speaker Verification to Multispeaker Text-To-Speech Synthesis
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.