choihkk Goto Github PK
Name: choihk
Type: User
Bio: SpeechSynthesis
Location: Seoul
Blog: [email protected]
Name: choihk
Type: User
Bio: SpeechSynthesis
Location: Seoul
Blog: [email protected]
PyTorch implementation of "Conformer: Convolution-augmented Transformer for Speech Recognition" (INTERSPEECH 2020)
Conditional Variational Auto-Encoder with Jointly Training FastSpeech2(+Conformer) and HiFi-GAN for End to End Text to Speech
Implementation of DDSP (PyTorch), Differentiable Digital Signal Processing (ICLR 2020)
Implementation of Differentiable Digital Signal Processing (DDSP) in Pytorch
with alignment learning and without preprocessing
with alignment learning and continuous wavelet transform
End-to-End SpeechSynthesis system with fastspeech2 & hifigan
End-To-End SpeechSynthesis system with knowledge distillation
Inference and training library for high-quality TTS models.
Provides training, inference and voice conversion recipes for RADTTS and RADTTS++: Flow-based TTS models with Robust Alignment Learning, Diverse Synthesis, and Generative Modeling and Fine-Grained Control over of Low Dimensional (F0 and Energy) Speech Attributes.
A PyTorch-based Speech Toolkit
Conditional Variational Auto-Encoder with Jointly Training FastSpeech2 and HiFi-GAN for End to End Text to Speech
unofficial vits2-TTS implementation in pytorch
Singing Voice Speech modeling test
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