Heiga Zen

E200563

Heiga Zen is a researcher in speech synthesis and machine learning, known for helping develop Google's WaveNet neural network for generating raw audio.

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Heiga Zen canonical 1

Statements (33)

Predicate Object
instanceOf person
researcher
affiliation Institute of Electrical and Electronics Engineers
surface form: IEEE
educatedAt Nagoya Institute of Technology
employer Google
DeepMind
surface form: Google DeepMind
fieldOfStudy information engineering
speech processing
fieldOfWork machine learning
speech synthesis
statistical parametric speech synthesis
hasAcademicDegree PhD
hasCitizenship Japan
hasPublicationType conference papers
journal articles
hasPublicationVenue IEEE International Conference on Acoustics, Speech, and Signal Processing
surface form: ICASSP

ICML
INTERSPEECH
NeurIPS
hasRole author
research scientist
team lead
knownFor contributions to WaveNet
neural network-based speech synthesis
language English
Japanese
notableWork WaveNet
surface form: WaveNet: A Generative Model for Raw Audio

statistical parametric speech synthesis using HMMs
researchInterest deep generative models for audio
end-to-end text-to-speech
neural vocoders
sequence modeling
workLocation London, England
surface form: London

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WaveNet introducedBy Heiga Zen