51 lines
1.6 KiB
Markdown
51 lines
1.6 KiB
Markdown
# Parakeet
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Parakeet aims to provide a flexible, efficient and state-of-the-art text-to-speech toolkit for the open-source community. It is built on Paddle Fluid dynamic graph, with the support of many influential TTS models proposed by [Baidu Research](http://research.baidu.com) and other academic institutions.
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<div align="center">
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<img src="images/logo.png" width=450 /> <br>
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</div>
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## Installation
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### Install Paddlepaddle
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See [install](https://www.paddlepaddle.org.cn/install/quick) for more details. This repo requires paddlepaddle's version is above 1.7.
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### Install Parakeet
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```bash
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# git clone this repo first
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cd Parakeet
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pip install -e .
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```
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### Install CMUdict for nltk
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CMUdict from nltk is used to transform text into phonemes.
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```python
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import nltk
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nltk.download("cmudict")
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```
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If you have completed all the above installations, but still report an error at runtime：
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``` OSError: sndfile library not found ```
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You need to install ```libsndfile``` using your distribution’s package manager. e.g. install via:
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``` sudo apt-get install libsndfile1 ```
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## Supported models
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- [Deep Voice 3: Scaling Text-to-Speech with Convolutional Sequence Learning](https://arxiv.org/abs/1710.07654)
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- [Neural Speech Synthesis with Transformer Network](https://arxiv.org/abs/1809.08895)
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- [FastSpeech: Fast, Robust and Controllable Text to Speech](https://arxiv.org/abs/1905.09263).
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## Examples
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- [Train a deepvoice 3 model with ljspeech dataset](./parakeet/examples/deepvoice3)
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- [Train a transformer_tts model with ljspeech dataset](./parakeet/examples/transformer_tts)
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- [Train a fastspeech model with ljspeech dataset](./parakeet/examples/fastspeech)
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