r9y9/deepvoice3_pytorch
A PyTorch implementation of convolutional neural network text-to-speech synthesis models based on the Deep Voice 3 architecture.
Not currently ranked — collecting fresh signals.
star history
This repository provides a PyTorch implementation of deep learning-based text-to-speech synthesis systems, specifically implementing Deep Voice 3 and guided attention models. It supports both single-speaker and multi-speaker TTS with convolutional sequence-to-sequence architectures using attention mechanisms. The project includes preprocessors for standard datasets like LJSpeech, JSUT, and VCTK, along with pre-trained models and audio samples.
Frequently asked
- What is r9y9/deepvoice3_pytorch?
- A PyTorch implementation of convolutional neural network text-to-speech synthesis models based on the Deep Voice 3 architecture.
- Is deepvoice3_pytorch open source?
- Yes — r9y9/deepvoice3_pytorch is an open-source project tracked on heatdrop.
- What language is deepvoice3_pytorch written in?
- r9y9/deepvoice3_pytorch is primarily written in Python.
- How popular is deepvoice3_pytorch?
- r9y9/deepvoice3_pytorch has 2k stars on GitHub.
- Where can I find deepvoice3_pytorch?
- r9y9/deepvoice3_pytorch is on GitHub at https://github.com/r9y9/deepvoice3_pytorch.