https://github.com/rarefin/TTS_VAE
Hierarchical Generative Modeling for Controllable Speech 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/revsic/jax-variational-diffwave
https://github.com/revsic/tf-diffwave
https://github.com/revsic/torch-diffusion-wavegan
https://github.com/rf5/diffwave-unconditional
https://github.com/rhoposit/MOS_Estimation
https://github.com/rhoposit/MOS_Estimation2
https://github.com/richardbaihe/a3t
A$^3$T: Alignment-Aware Acoustic and Text Pretraining for Speech Synthesis and Editing
https://github.com/rickyHong/ClariNet-WaveNet-repl
ClariNet: Parallel Wave Generation in End-to-End Text-to-Speech
https://github.com/rickyHong/GAN-TTS-repl2
Statistical Parametric Speech Synthesis Incorporating Generative Adversarial Networks
https://github.com/rickyHong/GANTTS-update-repl
Statistical Parametric Speech Synthesis Incorporating Generative Adversarial Networks
https://github.com/rickyHong/OpenSeq2Seq-repl
Mixed-Precision Training for NLP and Speech Recognition with OpenSeq2Seq
https://github.com/rickyHong/gantts-update-repl2
Statistical Parametric Speech Synthesis Incorporating Generative Adversarial Networks
https://github.com/rishikksh20/FastSpeech2
https://github.com/rishikksh20/HiFi-GAN
HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis
https://github.com/rishikksh20/LightSpeech
https://github.com/rishikksh20/TalkNet2-pytorch
https://github.com/rishikksh20/UnivNet-pytorch
https://github.com/rishikksh20/VocGAN
MelGAN: Generative Adversarial Networks for Conditional Waveform Synthesis
https://github.com/rishikksh20/iSTFTNet-pytorch
https://github.com/rishikksh20/melgan
MelGAN: Generative Adversarial Networks for Conditional Waveform Synthesis
https://github.com/rishikksh20/tfgan
https://github.com/roedoejet/fastspeech2
FastSpeech 2: Fast and High-Quality End-to-End Text to Speech
https://github.com/roedoejet/fastspeech2_acl2022_reproducibility
FastSpeech 2: Fast and High-Quality End-to-End Text to Speech
https://github.com/rongjiehuang/transpeech
GenerSpeech: Towards Style Transfer for Generalizable Out-Of-Domain Text-to-Speech
https://github.com/rosinality/melgan-pytorch
Natural TTS Synthesis by Conditioning WaveNet on Mel Spectrogram Predictions
https://github.com/s3nh/pytorch-tacotron2
Natural TTS Synthesis by Conditioning WaveNet on Mel Spectrogram Predictions
https://github.com/sam2125/translatotron
Direct speech-to-speech translation with a sequence-to-sequence model
https://github.com/scpark20/universal-music-translation
https://github.com/serp-ai/bark-with-voice-clone
Neural Codec Language Models are Zero-Shot Text to Speech Synthesizers
https://github.com/seungwonpark/melgan
MelGAN: Generative Adversarial Networks for Conditional Waveform Synthesis
https://github.com/sewplay/demos
Effective parameter estimation methods for an ExcitNet model in generative text-to-speech systems
https://github.com/sh-lee-prml/BigVGAN
BigVGAN: A Universal Neural Vocoder with Large-Scale Training
https://github.com/shivammehta25/BetterFastSpeech2
FastSpeech 2: Fast and High-Quality End-to-End Text to Speech
https://github.com/shortpoet/Final-Project
https://github.com/smoke-trees/Voice-synthesis
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.