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PyTorch implementation of convolutional neural networks-based text-to-speech synthesis models
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 # Deepvoice3_pytorch [](https://pypi.python.org/pypi/deepvoice3_pytorch) [](https://travis-ci.org/r9y9/deepvoice3_pytorch) [](https://ci.appveyor.com/project/r9y9/deepvoice3-pytorch) [](https://zenodo.org/badge/latestdoi/108992863) PyTorch implementation of convolutional networks-based text-to-speech synthesis models: 1. [arXiv:1710.07654](https://arxiv.org/abs/1710.07654): Deep Voice 3: Scaling Text-to-Speech with Convolutional Sequence Learning. 2. [arXiv:1710.08969](https://arxiv.org/abs/1710.08969): Efficiently Trainable Text-to-Speech System Based on Deep Convolutional Networks with Guided Attention. Audio samples are available at https://r9y9.github.io/deepvoice3_pytorch/. ## Folks - https://github.com/hash2430/dv3_world: DeepVoice3 with WORLD vocoder support. [#166](https://github.com/r9y9/deepvoice3_pytorch/issues/166) ## Online TTS demo Notebooks supposed to be executed on https://colab.research.google.com are available: - [DeepVoice3: Multi-speaker text-to-speech demo](https://colab.research.google.com/github/r9y9/Colaboratory/blob/master/DeepVoice3_multi_speaker_TTS_en_demo.ipynb) - [DeepVoice3: Single-speaker text-to-speech demo](https://colab.research.google.com/github/r9y9/Colaboratory/blob/master/DeepVoice3_single_speaker_TTS_en_demo.ipynb) ## Highlights - Convolutional sequence-to-sequence model with attention for text-to-speech synthesis - Multi-speaker and single speaker versions of DeepVoice3 - Audio samples and pre-trained models - Preprocessor for [LJSpeech (en)](https://keithito.com/LJ-Speech-Dataset/), [JSUT (jp)](https://sites.google.com/site/shinnosuketakamichi/publication/jsut) and [VCTK](http://homepages.inf.ed.ac.uk/jyamagis/page3/page58/page58.html) datasets, as well as [carpedm20/multi-speaker-tacotron-tensorflow](https://github.com/carpedm20/multi-Speaker-tacotron-tensorflow) compatible custom dataset (in JSON format) - Language-dependent frontend text processor for English and Japanese ### Samples - [Ja Step000380000 Predicted](https://soundcloud.com/user-623907374/ja-step000380000-predicted) - [Ja Step000370000 Predicted](https://soundcloud.com/user-623907374/ja-step000370000-predicted) - [Ko_single Step000410000 Predicted](https://soundcloud.com/user-623907374/ko-step000410000-predicted) - [Ko_single Step000400000 Predicted](https://soundcloud.com/user-623907374/ko-step000400000-predicted) - [Ko_multi Step001680000 Predicted](https://soundcloud.com/user-623907374/step001680000-predicted) - [Ko_multi Step001700000 Predicted](https://soundcloud.com/user-623907374/step001700000-predicted) ## Pretrained models **NOTE**: pretrained models are not compatible to master. To be updated soon. | URL | Model | Data | Hyper paramters | Git commit | Steps | |-----|------------|----------|--------------------------------------------------|----------------------|--------| | [link](https://www.dropbox.com/s/5ucl9remrwy5oeg/20180505_deepvoice3_checkpoint_step000640000.pth?dl=0) | DeepVoice3 | LJSpeech | [link](https://www.dropbox.com/s/0ck82unm0bo0rxd/20180505_deepvoice3_ljspeech.json?dl=0) | [abf0a21](https://github.com/r9y9/deepvoice3_pytorch/tree/abf0a21f83aeb451b918f867bc23378f1e2e608b)| 640k | | [link](https://www.dropbox.com/s/1y8bt6bnggbzzlp/20171129_nyanko_checkpoint_step000585000.pth?dl=0) | Nyanko | LJSpeech | `builder=nyanko,preset=nyanko_ljspeech` | [ba59dc7](https://github.com/r9y9/deepvoice3_pytorch/tree/ba59dc75374ca3189281f6028201c15066830116) | 585k | | [link](https://www.dropbox.com/s/uzmtzgcedyu531k/20171222_deepvoice3_vctk108_checkpoint_step000300000.pth?dl=0) | Multi-speaker DeepVoice3 | VCTK | `builder=deepvo
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Read on GitHubWould you bet a product on this? Bounded 0–100 and slow moving.
matched fp:79c3f6e8c18f81fc, topic:tts, topic:speech-synthesis, desc:text-to-speech