WASPAA papers on source localisation & source separation
I am delighted that three of our papers were accepted for WASPAA 2021! Aidan Hogg's work [1] proposes to combine spectral features (voice pitch) and spatial features (source direction-of-arrival) in order to track multiple, competing speakers in complex scenarios. Vincent Neo's work [2] proposes to exploit spatial, temporal - and hence spectral...
I am delighted that three of ...
Read MoreInvited Talk @ The Clarity Workshop on Machine Learning Challenges for Hearing Aids (Clarity-2021)
Audio signals encapsulate vital cues about our surrounding environments. However, in everyday environments, audio signals are adversely affected by ambient noise, reverberation, and interference from multiple, competing sources. Therefore, algorithms for acoustic source localization and tracking are required to enable machines (e.g., robots, smart assistants, hearables) to focus on and...
Audio signals encapsulate vita...
Read MoreTalking to Robots @ Pint of Science
As humans, we use sound to communicate, to understand what is happening around us, and to create immersive experiences. To enable intuitive interactions with humans, machines, such as robots, are often equipped with microphones. But how can robots make sense of sounds? And how does the ability to talk to...
As humans, we use sound to co...
Read MorePapers on speaker segmentation and polynomial matrix eigenvalue decomposition accepted for ICASSP’21
Aidan Hogg's work [1] proposes to track the pitch of human voices in order to segment the onsets and endpoints of multiple competing speakers. Vincent Neo's work [2] proposes to focus on speech in noise and reverberation by steering beams in the source direction and decomposing the resulting signals into...
Aidan Hogg's work [1] propose...
Read MoreTrustworthy Human-Robot Teams
Our Agile project on "Trustworthy Human-Robot Teams", funded by the Trustworthy Autonomous Systems (TAS) Hub, will explore the different aspects related to trust within and towards human-robot teams. The project will investigate two essential tasks: robot-assisted surgery and cleaning robots. ...
Our Agile project on "Trustwo...
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Living with AI Podcast
Curious to find out what artificial intelligence (AI) means for society and everyday life? Tune in to the "Living with AI" Podcast by the UKRI Trustworthy Autonomous Systems Hub. We discuss the challenges and opportunities of equipping machines with artificial intelligence. Episodes focus on technologies ranging from voice assistants and...
Curious to find out what arti...
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UKRI Trustworthy Autonomous Systems Hub
I am thrilled to be part of the UKRI Trustworthy Autonomous Systems (TAS) Hub, led by Prof Gopal Ramchurn. From Sep' 2020, the TAS Hub will provide bring together a team from the Universities of Southampton, Nottingham, and King’s College London in order to provide a collaborative platform for research on...
I am thrilled to be part of t...
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Moving from Imperial to Southampton
I am starting as a Lecturer (Assistant Prof) in Computer Science at the University of Southampton in Feb' 2020. ...
I am starting as a Lecturer (...
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UKRI Centre for Doctoral Training in Machine Intelligence for Nano- Electronic Devices and Systems (MINDS)
I am pleased to be involved in the UKRI Centre for Doctoral Training in Machine Intelligence for Nano- Electronic Devices and Systems (MINDS) as cohort lead and theme lead for Embedded Artificial Intelligence (EAI). ...
I am pleased to be involved i...
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