Research Associate in Integrated Multitask Neural

3 weeks ago


Sheffield, United Kingdom University of Sheffield Full time

We are seeking an outstanding Research Associate to work on Integrated Multitask Neural Speech Labelling at the LivePerson Centre for Speech and Language Technology based at the University of Sheffield. The Centre is linked with the Speech and Hearing (SPandH) research group in the Department of Computer Science.

This world-leading team of researchers focus on speech and language technology. Working on new ways to integrate a variety of speech technology labelling, clustering or segmentation tasks into a single algorithm or process, in the context of deep neural networks. Even end to end (E2E) automatic speech recognition is typically considered as a standalone process, independent of other speech audio technology tasks such as diarisation, acoustic event detection or intent recognition. There is recent interest in integration of a range of speech technology systems, enabled by the commonality of deep learning structures. Several solutions to specific problems have been proposed. Such strategies involve fusion of input streams at different levels, parallel multi-stream recognisers, or simply label prefixing. The objective in this project is to explore and analyse the benefit of different strategies and find new ways of efficiently combining multi-task recognition.

The LivePerson Centre for Speech and Language Technology was established in 2017 with the aim to conduct research into novel methods for speech recognition and general speech processing, including end to end modelling, direct waveform modelling and new approaches to modelling of acoustics and language. It has recently extended its research remit to spoken and written dialogue. Being fully connected with SPandH brings collaboration, and access to a wide range of academic research and opportunities for collaboration inside and outside of the University.


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