Sung-Feng Huang
Scholar

Sung-Feng Huang

Google Scholar ID: dtZ_69AAAAAJ
Research Scientist, Nvidia
machine learningspeech processingnatural language processing
Citations & Impact
All-time
Citations
339
 
H-index
10
 
i10-index
10
 
Publications
20
 
Co-authors
9
list available
Resume (English only)
Academic Achievements
  • Selected publications: 'Generative Speech Foundation Model Pretraining for High-Quality Speech Extraction and Restoration', 'Detecting the Undetectable: Assessing the Efficacy of Current Spoof Detection Methods Against Seamless Speech Edits', and more; Reviewer for conferences including ICASSP, ACL, ICML, AAAI, etc.
Research Experience
  • Research Scientist at NVIDIA Research Taiwan (Mar. 2025 - Present); AI Researcher Intern at NVIDIA Research Taiwan (Oct. 2023 - Aug. 2024); NLP Researcher Intern at Apple (Jun. 2019 - Sep. 2019); ML Researcher Intern at HTC, Department of Deep Learning and Algorithm (Jul. 2017 - Dec. 2017)
Education
  • Ph.D. from National Taiwan University (Sep. 2017 - Aug. 2024), Advisors: Prof. Lin-shan Lee and Prof. Hung-yi Lee; B.S. from National Taiwan University, Department of Electrical Engineering (Sep. 2013 - Jun. 2017)
Background
  • Research interests: generative AI for speech and audio, with expertise in speech recognition, synthesis, separation, and machine learning techniques such as self-supervised and meta learning.