Jonathan Shen
First author of the Tacotron 2 text-to-speech paper, written as a software engineer at Google
Jonathan Shen is first author of Natural TTS Synthesis by Conditioning WaveNet on Mel Spectrogram Predictions, the Tacotron 2 paper, which pairs a recurrent sequence-to-sequence network that maps character embeddings to mel-scale spectrograms with a modified WaveNet vocoder that synthesizes waveforms from them. Shen co-wrote the December 2017 Google Research blog post introducing Tacotron 2, posted with Ruoming Pang as software engineers on behalf of the Google Brain and Machine Perception teams.12
Work
Tacotron 2 (external site: arxiv.org)Published research
First author of Natural TTS Synthesis by Conditioning WaveNet on Mel Spectrogram Predictions (2017) and co-author of the Google Research blog post presenting Tacotron 2.12
Other documented roles
Roles the sources document but that are not confirmed as current.
- Software Engineer (Tacotron 2 blog byline, December 2017), Google (Google Brain and Machine Perception teams)2
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