MSc Speech & Language Processing
Combining elements of linguistics, computer science, engineering and psychology
An introduction from the Programme Director
Welcome to the MSc/Dip in Speech and Language Processing, an intensive one-year taught postgraduate degree here at the University of Edinburgh.
The programme covers all areas of speech and language processing, from phonetics, speech synthesis and speech recognition, to natural language generation and machine translation.
The flexible nature of the programme allows students to take courses ranging across other areas of linguistics, informatics, cognitive science and psychology.
The programme is co-taught by faculty from Linguistics and Informatics, both of which are the best in the UK and world leading in their fields. This programme draws on the combined expertise of these subject areas to deliver a broad range of courses, all informed by current research being conducted at Edinburgh.
On the programme, you will feel connected to these active research programmes and will be taught by leading researchers in their respective fields. The dissertation project provides an opportunity for you to directly connect with active research projects.
If you are deciding whether to apply, or already have an offer of a place, and would like to make contact with current and former students from this programme to get their views and find out what they are doing now, please contact the Programme Director, Professor Simon King.
For a taster of some of the research conducted here in Edinburgh, watch this lecture. If you have any other questions about the programme that are not answered on these pages, don't hesitate to ask!
After the two semesters of taught courses, you will conduct an individual piece of research and write a dissertation. The research project is performed under the supervision of an expert member of the teaching or research staff, often assisted by postdoctoral Research Fellows.
Examples of recent dissertation topics include:
- Large Scale Speech Synthesis Evaluation
- Digital Microphone Array - Design, Implementation and Speech Recognition Experiments
- Further Investigation of MDS as a Tool for Evaluation of Speech Quality of Synthesized Speech
- Dae ye ken me? Speech synthesis in the Gorbals region of Glasgow
- Exploiting linguistically-enriched models of phrase-based statistical machine translation
- Knowledge-lean approaches to metonymy
- Automatic speech recognition for disordered speech
Programme Director: Professor Simon King