Be the only one, not the best one

We've just open-sourced our implementation of TransformerTTS 🤖💬: a Text-to-Speech Transformer. It's based on a Microsoft paper: Neural Speech Synthesis with Transformer Network. It's written in TensorFlow 2 and uses all its cool features.

The best thing on our implementation though is that you can easily use the WaveRNN Vocoder to generate human-level synthesis. We also provide samples and a Colab notebook. Make sure to check it out and please star ⭐️ the repo and share it! We're already working on the Forward version of TransformerTTS and we'll release it soon as well.

🎧 Samples: https://as-ideas.github.io/TransformerTTS/

🔤 Github: https://github.com/as-ideas/TransformerTTS

📕 Colab notebook: https://colab.research.google.com/github/as-ideas/TransformerTTS/blob/master/notebooks/synthesize.ipynb

https://www.facebook.com/deeplearning101/posts/3637994496216575

Adversarial Colorization of Icons Based on Structure and Color Conditions

Authors: Tsai-Ho Sun, Chien-Hsun Lai, Sai-Keung Wong, and Yu-Shuen Wang

Abstract: We present a system to help #designers create icons that are widely used in banners, signboards, billboards, homepages, and #mobile apps. Designers are tasked with drawing contours, whereas our system colorizes contours in different styles. This goal is achieved by training a dual conditional generative adversarial network (GAN) on our collected icon dataset.

Source:

Pdf: https://t.co/6tIoJZiXye

Abs: https://t.co/2LakM2d1bk

Github: https://t.co/hV7v3wlzvU