Yuxuan Wang retweeted
*yells in Chewbacca* 📣👂 New Text-to-Speech voices ft. some of your favorite characters are available now on @TikTok! To unlock them, discover the mystery keywords. #DisneyPlusDay
Yuxuan Wang retweeted
Anthony Levandowski to Larry Page: Google's self-driving project is broken
January 9, 2016
Yuxuan Wang retweeted
RT There's an E-6B Mercury off the east coast near DC. I looked because I would expect them to pop up if he tests positive. It's a message to the small group of adversaries with SLBMs and ICBMs.
Yuxuan Wang retweeted
Immigration has contributed immensely to America’s economic success, making it a global leader in tech, and also Google the company it is today. Disappointed by today’s proclamation - we’ll continue to stand with immigrants and work to expand opportunity for all.
Yuxuan Wang retweeted
I'm excited to share Capacitron, the Tacotron team's most recent contribution to the world of expressive end-to-end speech synthesis (e.g., transfer and control of prosody and speaking style). arxiv.org/abs/1906.03402
Yuxuan Wang retweeted
We released a new large-scale corpus of English speech derived for TTS;
LibriTTS: A Corpus Derived from LibriSpeech for Text-to-Speech
Dataset: openslr.org/60/
Paper: arxiv.org/abs/1904.02882
Yuxuan Wang retweeted
あいかわらずリズムの生成の実験中. 強弱(Veclocity)や微妙な各打点のタイミングのゆれも含めて、Variational Autoencoderで生成するようなモデルを作ったらだいぶカッコよくなってきた気がする.
Yuxuan Wang retweeted
Our work on mixing input types for controlling TTS synthesis is now up on arxiv! arxiv.org/abs/1811.07240 / samples s3.amazonaws.com/representat…. See the sampling code github.com/kastnerkyle/repre…, or jump straight to the colab to try on your own colab.research.google.com/gi…
Yuxuan Wang retweeted
Magenta Studio - Ableton Live Plugin buff.ly/2Tx1qTD Googleの音楽生成関連のモデルのパッケージ Magentaが Ableton Live用のプラグインとしてリリースされてますね. ドラムシーケンスを生成したり、二つのシーケンスの間を補完したり... いろいろ手軽に遊べます.
Yuxuan Wang retweeted
友人のMaxがWaveNet/VAEで生成したサンプルのみで作ったドラムンベーストラック。ディープラーニング x サウンドデザイン. buff.ly/2AK8CEq
こういう使い方はぐっときますね! プロジェクトの詳細はこちら NeuralFunk - Combining Deep Learning with Sound Design buff.ly/2OP2WBJ
Yuxuan Wang retweeted
Hierarchical Generative Modeling for Controllable Speech Synthesis. arxiv.org/abs/1810.07217
Yuxuan Wang retweeted
Microsoft’s new neural text-to-speech service helps machines speak like people azure.microsoft.com/blog/mic…
Yuxuan Wang retweeted
“How Generative Music Works”
My presentation & music from #loopberlin
teropa.info/loop/
Yuxuan Wang retweeted
Check out TensorFlow Probability's new home page. Complete with @GoogleColab notebook examples (e.g., How to build hierarchical Bayesian mixture models) and API docs.
See for yourself ↓ bit.ly/2P3c4P9
Yuxuan Wang retweeted
Interesting thread. It's good to see these ideas expressed in such a clear and provocative way, because a lot of people believe them, and they are wrong in an interesting way. THREAD 👇🏻 (post 1 of "until my beer gets cold") nitter.gq/SimonDeDeo/status/1017…
Yuxuan Wang retweeted
Very proud that our Applied Deep Learning Research team at NVIDIA has made open-source releases of Tacotron 2 and Wavenet that allows people to quickly build high quality text-to-speech systems! chirb.it/197A2s #nvidia
Yuxuan Wang retweeted
I'm finally done WaveNet-based text-to-speech. Uploaded samples at r9y9.github.io/wavenet_vocod… and prepared an on-line TTS demo colab.research.google.com/gi… supposed to be run on Google colab to help people try it easily and quickly. Hooray!
Yuxuan Wang retweeted
Learn how Google Duplex uses advances in natural conversation technologies to autonomously complete specific user tasks via the phone and Google Assistant. goo.gl/AxMHbU
Yuxuan Wang retweeted
In order to make Generative Adversarial Networks (GANs) easier to experiment with, we’ve open sourced TFGAN, a lightweight #TensorFlow library designed to make it easy to train and evaluate GANs ➝ goo.gl/2ECEqV