Background
Adapt self-supervised speech models to Scottish Gaelic and Irish with minimal labelled data. This project sits within the speech and nlp activities of our group at University of Edinburgh, and builds on several recent publications and ongoing collaborations with industry and other research groups.
Objectives
- Review the state of the art in ASR and formulate a precise research question
- Design and implement the methodology described above
- Evaluate results rigorously, including ablations and comparison with baselines
- Document the work in a thesis and, where results allow, a conference paper
What you will do
You will join weekly group meetings, work closely with a PhD student as day-to-day supervisor, and have access to our computing/lab infrastructure. We expect independent work, curiosity and good communication. The exact scope is adapted to a master thesis of about 6 months.
What we offer
- Supervision by Eilidh Murphy and an experienced team
- Help with applying for Erasmus+ or other mobility grants
- An international environment and the possibility to continue with a PhD for strong candidates
How to apply
Apply through ThesisAbroad with your CV, transcript and a short motivation explaining why this topic interests you. Shortlisted candidates are invited to a 30-minute video call.
Requirements
- Enrolled in a master programme in Linguistics or a related field
- Solid background in speech
- English (B2 or higher)
- Programming or lab experience relevant to the topic
- Ability to spend the full duration on site
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