Thomas Hain
Scholar

Thomas Hain

Google Scholar ID: x03kgyEAAAAJ
Professor of Speech Technology, University of Sheffield
Speech TechnologyAudio TechnologySpeech RecognitionMachine LearningMultimodal Interfaces
Citations & Impact
All-time
Citations
3,523
 
H-index
20
 
i10-index
63
 
Publications
20
 
Co-authors
73
list available
Resume (English only)
Academic Achievements
  • Academic Platforms: Google Scholar, Semantic Scholar, dblp, ResearchGate, ORCID, LinkedIn
Research Experience
  • Positions: Head of Machine Intelligence for Natural Interfaces; Member of the Speech and Hearing Research Group and the Machine Learning Research Group; Director of the UKR AI Centre of Doctoral Training in Speech and Language Technologies; Director of the Liveperson Centre for Speech and Language Technology at the University of Sheffield.
Background
  • Research Interests: Machine learning methods applied to speech, language, and audio technology; Professional Field: Computer Science; Bio: Professor at the School of Computer Science, University of Sheffield, UK, and a fellow of ISCA and AAIA. Fascinated by methods that give access to meaning in data and allow machines to perform tasks beyond our own abilities.
Miscellany
  • Personal Interests: Agent modelling and blockchain technologies; Co-founder of fetch.ai