This is a twelve-month full-time MPhil programme offered by the Computational and Biological Learning Group (CBL) and the Speech Group in the Cambridge University Department of Engineering, with a unique, joint emphasis on both machine learning and on speech and language technology. The course aims: to teach the state of the art in machine learning, speech and language processing; to give students the skills and expertise necessary to take leading roles in industry; to equip students with the research skills necessary for doctoral study.
The University of Edinburgh
A one-year taught Masters programme concerned with computational methods for the automatic processing and study of spoken and written language systems, from phonetics to computer speech recognition, parsing to natural language understanding and beyond. The programme provides research or vocational training and can be either freestanding or leading to Ph.D. study. The modular nature of the programme allows students to tailor it to their own interests. This advanced postgraduate degree leads to the award of M.Sc. or to a Diploma.
University College London
- MSc in Language Sciences (with specialisation in Language Development)
- MSc in Language Sciences (with specialisation in Linguistics with Neuroscience)
- MSc in Language Sciences (with specialisation in Speech and Hearing Sciences)
The MSc in Language Sciences will provide students with an opportunity for an in-depth study of one or more areas of the Language Sciences. The MSc in Language Sciences is an "umbrella degree", with a number of specialisation strands that follow a common structure. All students on the programme will take a core set of modules but they will then have an opportunity to specialise in one specific area of the language sciences, such as language development or speech and hearing sciences, which is most tailored to their interest. In selecting the modules for their specialisation, students will be able to takes full advantage of the breadth of expertise in language research in the Division of Psychology and Language Sciences. This programme is designed for students who want to deepen their knowledge of one or more areas of the language sciences prior to registering for a research degree and will also be appropriate for individuals currently working in areas such as education, speech and language therapy, audiology, speech technology, who want to deepen their knowledge of the language sciences.
The following specialisations will be offered in 2011-2012:
University of Sheffield
The capabilities of computational speech and language processing (SLP) have grown substantially in recent years, both in the research laboratory and in the commercial marketplace. There is now a wide range of applications for SLP systems such as automatic translation between languages (e.g. Arabic and English), automatic speech recognition, automatic answering of questions, text mining (e.g. from the web) and access to information through spoken human-computer dialogue. Systems which use speech and language processing are now in everyday use, through technologies such as internet search engines and mobile phones, and most major international computer and telecoms companies now engage in SLP research and development. As a result, there is strong demand for graduates with the highly-specialised multi-disciplinary skills that are required in SLP, both as practitioners in the development of SLP applications and as researchers into the advanced capabilities required for next-generation SLP systems. The Masters course in Speech and Language Processing has been carefully tailored to meet this training need, by providing a balanced programme of instruction across a range of relevant disciplines including speech processing, computational linguistics/natural language processing and machine learning. The course aims to give the student a solid grounding in the computational principles underlying speech and language processing as well as an understanding of a variety of current speech and language processing applications.