23/01/2019 - 23/01/2019
1:00PM - 2:00PM
Free - all are welcome
In this talk, Prof. Ming will discuss the fundamentals of automatic speech recognition (ASR), including the ‘classical’ approaches, and the most recent advances including the deep-learning based approaches. He will focus on the search of the solutions to a major and unsolved challenge – noise. Noise is unavoidable in many real-world applications, and the current ASR methods lack noise robustness. The talk will introduce the state-of-the-art approaches for improving the noise robustness, their shortcomings, and some of our recent advances towards an improved solution.
Ji Ming is a Professor in EEECS at QUB. His research interests are mainly in audio, speech and language processing. He was a Visiting Scientist at the MIT between 2005-2006. Prof. Ming and his team have produced the widely-cited approaches for speaker recognition in noise, and the award-winning systems for speech separation and speech enhancement.
Amanda Kirkpatrick, Music, Events and Performance Officer t: 028 9097 5227 e: email@example.com
Date(s): 13/02/2019 - 13/02/2019
Time: 1:00PM - 2:00PM
Location: Old McMordie Hall, Music Building, University Square, Queen's University Belfast
Queen's University Belfast is committed to Equality, Diversity and Inclusion.
For more information please read our Equality and Diversity Policy.
Queen's University Belfast is registered with the Charity Commission for Northern Ireland NIC101788
VAT registration number: GB 254 7995 11