[Univ of Cambridge] [Dept of Engineering]

ALTA - Spoken Language Research @CUED

[ Description | Personnel | Publications ]

Latest News: Speech research group success at INTERSPEECH 2020



The Cambridge Institute for Automated Language Teaching and Assessment (ALTA) is a virtual institute that brings together researchers from Cambridge Assessment and the departments of Computer Science and Technology and Engineering. Using techniques from Machine Learning and Natural Language Processing, ALTA's primary objective is to develop technology to enhance the experience of language learning and to develop cutting-edge approaches to automated assessment that will benefit learners and teachers worldwide. It forms part of Cambridge University's Language Sciences Interdisciplinary Research Center.

Sponsorship from Cambridge Assessment English supports a team of PhD students and post-doctoral researchers who investigate a range of topics, including:

  • language assessment;
  • teaching feedback;
  • adaptive learning;
  • content creation and calibration.

The institute comprises researchers at the Department of Computer Science and Technology (CST) and the Department of Engineering (CUED). The principal investigators, and research areas, are:

The research in the CUED Speech Group is focused on spoken language assessment and learning. The group works on all aspects of this area from core speech recognition and machine learning, to spoken language assessment, to feedback and the nature of the test.

Personnel Associated with ALTA @CUED

  • Prof Mark Gales [Principal Investigator]
  • Dr Kate Knill [Principal Research Associate]
  • Dr Linlin Wang [Research Associate]
  • Dr Xixin Wu [Research Associate]
  • Kostas Kyriakopoulos [Research Student]
  • Adian Liusie [Research Student]
  • Yiting (Edie) Lu [Research Student] (part-funded)
  • Potsawee Manakul [Research student] (Cambridge University funded)
  • Vatsal Raina [Research Student] (DTP funded)
  • Vyas Raina [Research Student]
  • Bertie Bull [UROP student/UGrad student]
  • Santiago Dubov [UGrad student]
  • Yassir Fathullah [UROP student/UGrad student]
  • Sanchit Gandhi [UROP student/UGrad student]
  • Shangyi Lin [UGrad student]
  • Guoxuan Xia [UGrad student]


Former members:

  • Karl Bates [UGrad student]
  • Dr Jeff Chen [Research Associate]
  • Dr Rogier van Dalen [Research Associate]
  • Shixiang Gu [Research Student (part funded)]
  • Prof D. Littman [Visitor]
  • Hanxu (Vicky) Lu [UROP/UGrad student]
  • Bruno Mlodozeniec [UROP student]
  • Zhi Chen Neo [UROP student]
  • Preben Ness [UROP student]
  • Junjie Pan [MPhil student]
  • Sebastian Popescu [MPhil student]
  • Mohammad Rashid [MPhil student]
  • Ollie Rose [UGrad student]
  • Marco del Vecchio [MPhil student]
  • Xizi Wei [Research Assistant]
  • Yisheng (Darren) Xu [UGrad student]


[ Assessment Systems | Speech Recognition ] Malpractice ]
[Off-Topic Detection | Feedback | Machine Learning ]

Assessment Systems and Infrastructure

Automatic Speech Recognition


Off-Topic Response Detection

Feedback (Pronunciation, Grammar, Functional Competency)

Machine Learning

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