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Merge pull request #717 from coqui-ai/dev
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.github/PR_TEMPLATE.md

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---
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name: 'Contribution Guideline '
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about: Refer to Contirbution Guideline
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title: ''
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labels: ''
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assignees: ''
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# Pull request guidelines
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---
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Welcome to the 🐸TTS project! We are excited to see your interest, and appreciate your support!
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👐 Please check our [CONTRIBUTION GUIDELINE](https://github.com/coqui-ai/TTS#contribution-guidelines).
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This repository is governed by the Contributor Covenant Code of Conduct. For more details, see the [CODE_OF_CONDUCT.md](CODE_OF_CONDUCT.md) file.
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In order to make a good pull request, please see our [CONTRIBUTING.md](CONTRIBUTING.md) file.
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Before accepting your pull request, you will be asked to sign a [Contributor License Agreement](https://cla-assistant.io/coqui-ai/TTS).
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This [Contributor License Agreement](https://cla-assistant.io/coqui-ai/TTS):
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- Protects you, Coqui, and the users of the code.
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- Does not change your rights to use your contributions for any purpose.
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- Does not change the license of the 🐸TTS project. It just makes the terms of your contribution clearer and lets us know you are OK to contribute.

.gitignore

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temp_build/*
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recipes/WIP/*
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recipes/ljspeech/LJSpeech-1.1/*
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recipes/ljspeech/tacotron2-DDC/LJSpeech-1.1/*
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events.out*
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old_configs/*
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model_importers/*
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tts_output.wav
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deps.json
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speakers.json
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internal/*
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internal/*
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*_pitch.npy
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*_phoneme.npy

Makefile

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help:
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@grep -E '^[a-zA-Z_-]+:.*?## .*$$' $(MAKEFILE_LIST) | sort | awk 'BEGIN {FS = ":.*?## "}; {printf "\033[36m%-30s\033[0m %s\n", $$1, $$2}'
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target_dirs := tests TTS notebooks
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target_dirs := tests TTS notebooks recipes
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test_all: ## run tests and don't stop on an error.
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nosetests --with-cov -cov --cover-erase --cover-package TTS tests --nologcapture --with-id

README.md

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- Speedy-Speech: [paper](https://arxiv.org/abs/2008.03802)
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- Align-TTS: [paper](https://arxiv.org/abs/2003.01950)
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### End-to-End Models
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- VITS: [paper](https://arxiv.org/pdf/2106.06103)
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### Attention Methods
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- Guided Attention: [paper](https://arxiv.org/abs/1710.08969)
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- Forward Backward Decoding: [paper](https://arxiv.org/abs/1907.09006)
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- Graves Attention: [paper](https://arxiv.org/abs/1907.09006)
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- Graves Attention: [paper](https://arxiv.org/abs/1910.10288)
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- Double Decoder Consistency: [blog](https://erogol.com/solving-attention-problems-of-tts-models-with-double-decoder-consistency/)
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- Dynamic Convolutional Attention: [paper](https://arxiv.org/pdf/1910.10288.pdf)
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