Merge pull request #717 from coqui-ai/dev

v0.2.0

.github/PR_TEMPLATE.md

@@ -1,10 +1,15 @@
----
-name: 'Contribution Guideline '
-about: Refer to Contirbution Guideline
-title: ''
-labels: ''
-assignees: ''
+# Pull request guidelines
 
----
+Welcome to the 🐸TTS project! We are excited to see your interest, and appreciate your support!
 
-👐 Please check our [CONTRIBUTION GUIDELINE](https://github.com/coqui-ai/TTS#contribution-guidelines).
+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.
+
+In order to make a good pull request, please see our [CONTRIBUTING.md](CONTRIBUTING.md) file.
+
+Before accepting your pull request, you will be asked to sign a [Contributor License Agreement](https://cla-assistant.io/coqui-ai/TTS).
+
+This [Contributor License Agreement](https://cla-assistant.io/coqui-ai/TTS):
+
+- Protects you, Coqui, and the users of the code.
+- Does not change your rights to use your contributions for any purpose.
+- 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

@@ -136,6 +136,7 @@ TTS/tts/layers/glow_tts/monotonic_align/core.c
 temp_build/*
 recipes/WIP/*
 recipes/ljspeech/LJSpeech-1.1/*
+recipes/ljspeech/tacotron2-DDC/LJSpeech-1.1/*
 events.out*
 old_configs/*
 model_importers/*
@@ -152,4 +153,6 @@ output.wav
 tts_output.wav
 deps.json
 speakers.json
-internal/*
+internal/*
+*_pitch.npy
+*_phoneme.npy

Makefile

@@ -4,7 +4,7 @@
 help:
 	@grep -E '^[a-zA-Z_-]+:.*?## .*$$' $(MAKEFILE_LIST) | sort | awk 'BEGIN {FS = ":.*?## "}; {printf "\033[36m%-30s\033[0m %s\n", $$1, $$2}'
 
-target_dirs := tests TTS notebooks
+target_dirs := tests TTS notebooks recipes
 
 test_all:	## run tests and don't stop on an error.
 	nosetests --with-cov -cov  --cover-erase --cover-package TTS tests --nologcapture --with-id

README.md

@@ -73,10 +73,13 @@ Underlined "TTS*" and "Judy*" are 🐸TTS models
 - Speedy-Speech: [paper](https://arxiv.org/abs/2008.03802)
 - Align-TTS: [paper](https://arxiv.org/abs/2003.01950)
 
+### End-to-End Models
+- VITS: [paper](https://arxiv.org/pdf/2106.06103)
+
 ### Attention Methods
 - Guided Attention: [paper](https://arxiv.org/abs/1710.08969)
 - Forward Backward Decoding: [paper](https://arxiv.org/abs/1907.09006)
-- Graves Attention: [paper](https://arxiv.org/abs/1907.09006)
+- Graves Attention: [paper](https://arxiv.org/abs/1910.10288)
 - Double Decoder Consistency: [blog](https://erogol.com/solving-attention-problems-of-tts-models-with-double-decoder-consistency/)
 - Dynamic Convolutional Attention: [paper](https://arxiv.org/pdf/1910.10288.pdf)