Sarah Al-Shareef

Sarah Al-Shareef

Sarah Al-Shareef

Past Members, Research Students

Sarah Al-Shareef was a PhD student in Machine Intelligence for Natural Interfaces (MINI) group which is a subgroup of  Speech and Hearing (SpandH) group at Computer Science Department at the University of Sheffield, working on the Conversational Arabic Speech Recognition, supervised by Prof. Thomas Hain, funded by Umm Al-Qura University at Saudi Arabia where she is a lecturer at the College of Computer and Information Systems.

Before starting her PhD in 2009, Sarah completed her MSc. study in Advanced Computer Science in 2008 at the University of Sheffield Computer Science Department.

More information: Sarah’s homepage at DCS



Sarah Al-Shareef; Thomas Hain: Colloquialising Modern Standard Arabic Text for Improved Speech Recognition. In: Morgan, Nelson (Ed.): Interspeech 2016, 17th Annual Conference of the International Speech Communication Association, San Francisco, CA, USA, September 8-12, 2016, pp. 1345–1349, ISCA, 2016. (Type: Proceedings Article | Links)


Sarah Al-Shareef : Conversational Arabic Automatic Speech Recognition: Literature Review. The University of Sheffield 2013. (Type: Technical Report | )


Sarah Al-Shareef; Thomas Hain: CRF-based Diacritisation of Colloquial Arabic for Automatic Speech Recognition. In: INTERSPEECH, 2012. (Type: Proceedings Article | )
Sarah Al-Shareef; Thomas Hain: Conditional Random Fields Based Diacritisation of Colloquial Arabic. In: Saudi International Conference, 2012. (Type: Proceedings Article | )


Sarah Al-Shareef; Thomas Hain: An Investigation in Speech Recognition for Colloquial Arabic. In: INTERSPEECH, 2011. (Type: Proceedings Article | )

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