https://github.com/KathyReid/opensource-voice-tools
Flowtron: an Autoregressive Flow-based Generative Network for Text-to-Speech Synthesis
Papers with Code 아카이브
Accented Speech Recognition
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/KevinMIN95/StyleSpeech
FastSpeech 2: Fast and High-Quality End-to-End Text to Speech
https://github.com/KinglittleQ/GST-Tacotron
Style Tokens: Unsupervised Style Modeling, Control and Transfer in End-to-End Speech Synthesis
https://github.com/Kyubyong/expressive_tacotron
Style Tokens: Unsupervised Style Modeling, Control and Transfer in End-to-End Speech Synthesis
https://github.com/Kyubyong/tacotron
https://github.com/L0SG/WaveFlow
https://github.com/Loghijiaha/DeepSpeech-Indo
https://github.com/LucaHermes/lightweight-motion-forecasting
https://github.com/MS-Mind/MS-Code-02/tree/main/configs/convnext
https://github.com/MS-P3/code7/tree/main/univnet
https://github.com/MSRDL/Deep4Cast
https://github.com/MangoMoe/VerbalVim
Deep Speech 2: End-to-End Speech Recognition in English and Mandarin
https://github.com/MattSegal/speech-enhancement
MelGAN: Generative Adversarial Networks for Conditional Waveform Synthesis
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/DeepSpeech2
Deep Speech 2: End-to-End Speech Recognition in English and Mandarin
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
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.