PhD Studentship: In Semi-supervised Learning for Automatic Speech Recognition at University of Sheffield

Posted on Jun 19, 2020 in Job Opportunities in Acoustics

Closing date for applications: 24 July 2020

We are delighted to be able to offer one fully funded PhD in Semi-supervised Learning for Automatic Speech Recognition to start in October 2020.The studentship covers  tuition fees (either Home/EU or Overseas) and an annual tax-free maintenance stipend at the standard UK Research rate (£15,285 in 2020-21) for up to three years.

This studentship project will be focusing on novel algorithms with application to automatic speech recognition, in particular on semi-supervised or unsupervised methods to make use of large quantities of speech data (10000-1M hours of speech), in the context of state-of-the-art neural network-based modelling methods.  In many real-world scenarios, large quantities of unlabelled data are often available, it has been difficult to make good use of such resources. Even if labels are available noise makes learning with discriminative methods difficult. Developing new algorithms that can make use of such resources is key to unlock many applications, especially if this can be done efficiently. The project formulation on this topic will be finalised in collaboration with the successful candidate.

The successful candidate will be part of the Voicebase Centre for Speech and Language Technology at the University of Sheffield, under the supervision of Prof. Thomas Hain, and work in close collaboration with the post-doctoral researchers in the group.

The Voicebase Centre for Speech and Language Technology was established in 2018 to conduct research in novel methods for speech recognition, including end-to-end modelling, direct waveform modelling and new approaches to acoustics and language modelling. The Centre hosts several RAs, PhD researchers, graduate and undergraduate students, and academic visitors, as well as Researchers and Engineers from Voicebase. Voicebase’s mission is to be a centre of excellence for research, scientific rigour and good collaboration within the centre and with researchers and outside of the University.

The successful candidate will also become a member of the Speech and Hearing (SpandH) research group and its subgroup on Machine Intelligence for Natural Interfaces (MINI) in the Department of Computer Science.

Applications:

We are seeking an enthusiastic individual with a minimum 2.1 undergraduate (BSc) and/or postgraduate masters’ qualification (MSc) in Computer Science or closely related subject.

To apply for the project, applicants need to apply directly to the University of Sheffield using the online application system. Complete an application for admission to the standard Computer Science PhD programme

www.sheffield.ac.uk/postgraduate/research/apply

Please name Professor Thomas Hain as your proposed supervisor.

Applications should include a research proposal, transcripts and two references. The research proposal (up to 4 A4 pages, including references) should outline your reasons for applying for this project and how you would approach the researching, including details of your skills and experience.

If English is not your first language, you must have an IELTS score of 6.5 overall, with no less than 6.0 in each component.

For further details please contact Prof. Hain (t.hain@sheffield.ac.uk).

Funding:

International students are eligible to apply, however will have to pay the difference between the UK/EU and Overseas tuition fees.