Heiga Zen
Also known as Zen Heiga
As of October 2026, Heiga Zen is a Principal Scientist and Tokyo site lead at Google DeepMind, where he leads teams in spoken language processing, natural language processing, gaming and large language models. He earned a PhD from the Nagoya Institute of Technology in 2006, and he worked as a research engineer at Toshiba Research Europe's Cambridge laboratory from 2008 to 2011. Among his work is HTS, the HMM-based speech synthesis system, where he was one of the original authors and the first maintainer. He joined Google's Speech team in 2011, and he co-authored WaveNet, a network for generating raw audio waveforms. ISCA named him a Fellow in 2022, and the IEEE named him a Fellow in 2025.
- Now at
- Google DeepMind and Google Brain
- Works
- 192
Publication numbers from OpenAlex, as of 15 October 2026. Citations and h-index are hidden because this OpenAlex record may be incomplete or mix in other authors.
Timeline
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1999–2006
Studies in Suzuka and Nagoya
At Suzuka National College of Technology he receives an AE in 1999, and at the Nagoya Institute of Technology he receives a PhD in 2006.
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2008–2011
Toshiba research in Cambridge
He takes a research engineer post at Toshiba Research Europe's Cambridge laboratory from 2008 to 2011. Among his work is HTS, the HMM-based speech synthesis system, where he is one of the original authors and the first maintainer.
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2011–2018
Speech team and WaveNet
In 2011 he joins Google's Speech team, where he stays until 2018. He co-authors WaveNet, a network for generating raw audio waveforms.
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2018
A Google Brain team in Tokyo
In 2018 he joins the Brain team, and he is a co-founding member of the Google Brain team in Tokyo.
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2022–2025
ISCA and IEEE Fellowships
ISCA makes him a Fellow in 2022, and the IEEE does the same in 2025.
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June 2023
Principal Scientist at Google DeepMind
From June 2023, he is a Principal Scientist at Google DeepMind, Japan.
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As of October 2026
Tokyo site lead
He is a Principal Scientist and Tokyo site lead at Google DeepMind. He leads teams in spoken language processing, natural language processing, gaming and large language models. He also gives an ICML 2026 talk on the historical progression of speech generation.
Sources and credits
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- Heiga Zen – 2025 IEEE International Conference on Acoustics, Speech, and Signal Processing
- Heiga Zen
- [1609.03499] WaveNet: A Generative Model for Raw Audio
- WaveNet: A Generative Model for Raw Audio
- ICML Heiga Zen: From Statistical Models to Foundation Capabilities: The Historical Progression of Speech Generation