Dr. Gustav Henter

Assistant Professor

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Biography

Gustav Henter is an Assistant Professor at the School of Electrical Engineering and Computer Science at KTH Royal Institute of Technology, focusing on intelligent systems, specifically in the realm of machine learning. His primary research interests include deep generative models, particularly their application in speech synthesis, data-driven 3D character animation, and assistive technologies for the visually impaired. He is involved in advancing virtual assistants, prosthetic voices, phonetics research, and human-computer interaction. Henter completed his PhD in Sound Image Processing at KTH in 2013 and has held post-doctoral positions at the University of Edinburgh and the National Institute of Informatics in Japan. He returned to KTH in April 2018 and became an assistant professor in January 2020. Alongside his academic role, he serves as Chief Scientist at Motorica AB, a spin-off company developing generative models for motion in 3D character animation.

Research Interests

Machine Learning Deep Generative Models Speech Synthesis 3D Character Animation Assistive Technology

Experience

Assistant Professor

2020-01-01 — Present

KTH Royal Institute of Technology • Stockholm, Sweden

Teaching and research primarily in the Division of Speech, Music and Hearing.

Chief Scientist

2020-01-01 — Present

Motorica AB • Sweden

Leading research applications of generative models in 3D character animation.

Courses

Deep Generative Models Synthesis Foundations Machine Learning Integrating Course in Machine Learning

Requirements for KTH Royal Institute of Technology

Master Program
Requirements
GPA Requirement
Required:3
IELTS
Listening
Required:5.5
Reading
Required:5.5
Writing
Required:5.5
Speaking
Required:5.5
Overall
Required:6.5
TOEFL
Listening
Required:0
Reading
Required:0
Writing
Required:20
Speaking
Required:0
Total
Required:90
PTE
Listening
Required:0
Reading
Required:0
Writing
Required:62
Speaking
Required:0
Overall
Required:62
Prerequisites
Bachelor's degree (180 ECTS) in Science, Engineering, or a related field. Specific course requirements vary by department (e.g., Mathematics, Programming, or Subject-specific credits).
Application Checklist
  • Certificates and diplomas of completed degree
  • Transcript of records
  • Proof of English proficiency
  • Copy of passport or ID
  • Curriculum Vitae (CV)
  • Letter of Motivation
  • Letters of Recommendation (if required by program)
  • Summary of Project (if required)
Specialization Notes

Master's programs are organized under Schools; departments listed are units within these schools (e.g., EECS, ABE, CBH, ITM, SCI).