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Active and Semi-Supervised Learning for Automatic Speech Recognition

Lead Research Organisation: University of Cambridge
Department Name: Engineering

Abstract

The project aims to develop machine learning techniques that allow deep learning based speech recognition systems to be effectively trained on large amounts of un-labelled or partially labelled data. Additionally, it aims to develop techniques for systems to actively chose an approximately optimal subset of the un-labelled data to be transcribed by humans for further improvement of the system.
This project fits well into the EPSRC research areas "Artificial intelligence technologies" and "Speech technology".

Publications

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Studentship Projects

Project Reference Relationship Related To Start End Student Name
EP/N509620/1 30/09/2016 29/09/2022
2107214 Studentship EP/N509620/1 30/09/2018 30/12/2021 Florian Kreyssig
NE/W503204/1 31/03/2021 30/03/2022
2107214 Studentship NE/W503204/1 30/09/2018 30/12/2021 Florian Kreyssig