Dr Anton Ragni

BEng, MEng, PhD

School of Computer Science

Lecturer in Speech and Language Technologies

Seminar Organiser

Member of the Speech and Hearing (SpandH) research group

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+44 114 222 1925

Full contact details

Dr Anton Ragni
School of Computer Science
Regent Court (DCS)
211 Portobello
S1 4DP

Dr Anton Ragni is a Lecturer in Speech and Language Processing in the Department of Computer Science at the University of Sheffield.

He graduated with BEng and MEng degrees in Information Technology from the University of Tartu, Estonia, in 2005 and 2007 respectively. He was awarded his PhD from the University of Cambridge in 2013.

From 2005 to 2008, he underwent graduate training at the Nordic Graduate School of Language Technology and from 2007 to 2008, he was an intern in the Speech Technology Group, Toshiba Research Europe Ltd, UK. From 2013 to 2018 and from 2018 to 2019, he was a Research Associate and Senior Research Associate, respectively, in Speech Processing at the University of Cambridge.

His current research interest focuses on machine learning approaches for speech and language processing.

Research interests

Dr Anton Ragni's research interests include:

  • Core automatic speech recognition
  • Efficient and expressive speech synthesis
  • Spoken Language Translation
  • Information Retrieval
  • Conversation Modelling


  • Young S, Evermann G, Gales M, Hain T, Kershaw D, Xunying L, Moore G, Odell J, Ollason D, Povey D , Ragni A et al () The HTK Book (for HTK Version 3.5, documentation alpha version). Cambridge University Engineering Department: Cambridge University Engineering Department. RIS download Bibtex download

Journal articles


Conference proceedings papers



Research Grants

  • Exemplar-based Expressive Speech Synthesis, EPSRC, 06/2021 - 11/2023, £218,290, as PI
  • Automatic voice conversion for transforming professional adult voice actors to artificial child voice actors, Innovate UK, 01/2021 - 01/2023, £173,605, as Co-PI
Professional activities and memberships

He is a member of IEEE, ISCA and a regular reviewer of major speech and machine learning journals and conferences.

Since 2016, he has been an Officer of ISCA Special Interest Group on Machine Learning in Speech and Language Processing. He received the Best Student Paper Award at the IEEE Workshop on Automatic Speech Recognition and Understanding for his paper “Generative kernels for noise robust ASR” co-authored with M. J. F. Gales in 2011.