Medix-AI/coqui-tts
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Update README.md

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Eren Gölge 2021-03-07 03:56:30 +01:00 committed by GitHub
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@ -6,6 +6,7 @@ TTS comes with [pretrained models](https://github.com/coqui-ai/TTS/wiki/Released
<!-- [![CircleCI](TODO)]() -->
[![License](<https://img.shields.io/badge/License-MPL%202.0-brightgreen.svg>)](https://opensource.org/licenses/MPL-2.0)
[![PyPI version](https://badge.fury.io/py/TTS.svg)](https://badge.fury.io/py/TTS)
[![Covenant](https://camo.githubusercontent.com/7d620efaa3eac1c5b060ece5d6aacfcc8b81a74a04d05cd0398689c01c4463bb/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f436f6e7472696275746f72253230436f76656e616e742d76322e3025323061646f707465642d6666363962342e737667)]
:loudspeaker: [English Voice Samples](https://erogol.github.io/ddc-samples/) and [SoundCloud playlist](https://soundcloud.com/user-565970875/pocket-article-wavernn-and-tacotron2)
@ -230,7 +231,7 @@ In case of any error or intercepted execution, if there is no checkpoint yet und
You can also enjoy Tensorboard, if you point Tensorboard argument```--logdir``` to the experiment folder.
## Contribution guidelines
his repository is governed by Mozilla's code of conduct and etiquette guidelines. For more details, please read the [Mozilla Community Participation Guidelines.](https://www.mozilla.org/about/governance/policies/participation/)
Please follow the steps below as you send a PR for :frog:. It helps us to keep things organized.
1. Create a new branch.
2. Implement your changes.
@ -252,13 +253,6 @@ cardboardlinter --refspec master
Feel free to ping us at any step you need help using our communication channels.
[Here](https://github.com/firstcontributions/first-contributions) is a good resource for complete beginners.
## Collaborative Experimentation Guide
If you like to use TTS to try a new idea and like to share your experiments with the community, we urge you to use the following guideline for a better collaboration.
(If you have an idea for better collaboration, let us know)
- Create a new branch.
- Open an issue pointing your branch.
- Explain your idea and experiment.
- Share your results regularly. (Tensorboard log files, audio results, visuals etc.)
### Acknowledgement
- https://github.com/keithito/tacotron (Dataset pre-processing)