Scholar
Eric Battenberg
Google Scholar ID: WA86ONsAAAAJ
Google DeepMind
Citations & Impact
Citations
9,151
H-index
17
i10-index
23
Publications
20
Co-authors
28
list available
Publications
Resume (English only)
Academic Achievements
- Selected publications include 'Robust and Unbounded Length Generalization in Autoregressive Transformer-Based Text-to-Speech' (NAACL, 2025), 'Wave-Tacotron: Spectrogram-Free End-to-End Text-to-Speech Synthesis' (ICASSP, 2021), and others.
Research Experience
- Joined Google Research in 2017 and is currently part of the Foundational Research organization within Google DeepMind. Previously, worked as a Research Scientist at Baidu Silicon Valley Artificial Intelligence Lab (SVAIL), contributing to the Deep Speech 2 project. Developed algorithms for audio event detection and music mood classification at Gracenote in Emeryville, CA.
Education
- PhD in Electrical Engineering and Computer Sciences, 2012, University of California, Berkeley, advised by David Wessel (CNMAT) and Nelson Morgan (ICSI); MS in Electrical Engineering and Computer Sciences, 2008, University of California, Berkeley; BS in Electrical Engineering, 2005, University of California, Santa Barbara.
Background
- Research interests include multimodal AI, sequence modeling, audio generation/understanding, speech synthesis/recognition, deep learning/neural networks, and parallel and accelerated computing. Currently a Research Scientist at Google DeepMind, focusing on generative modeling and machine perception research to make interactions with technology more natural and seamless.
Miscellany
- Personal interests not mentioned
