The next meeting of the AES Melbourne Section will be held on Monday August 12th 2019 at 7:30pm at The SAE Institute – Lecture Theatre, 235 Normanby Rd South Melbourne (directions below).
There will be a short Annual General Meeting of the Section, with reports and officers/committee elections. Visitors and non-members are welcome to sit in on the AGM, but if you have no interest in doing that, you could arrive about 7:45pm when the technical presentation should start.
the presentation Guillaume Potardwill
present on the topic:
Machine Listening – when Artificial Intelligence meets Audio
study of neural networks and artificial intelligence has been around
for several decades but has had a renaissance since the 2000’s when
the buzz word ‘deep learning’ was coined. Guillaume will review what
deep learning is, and give an overview of the concepts and building
blocks behind the more general umbrella terms ‘machine learning’ and
He will then focus on how machine learning is used today in conjunction with speech and audio in products such as personal voice assistants, hearing aids and in fault monitoring.
A practical overview will then follow of the tools and databases currently available for developing and training machine learning models.
Lastly, Guillaume will present some of his own work which aims at improving the perception and understanding of sound by machines and is inspired from the fascinating processes happening in the human auditory cortex.
Mon 12th August 2019 at 7:30pm
The SAE Institute – Lecture Theatre
235 Normanby Road
Guillaume obtained a PhD entitled “3D audio object-oriented coding” from the University of Wollongong.
From an electrical and telecom engineering background, Guillaume has had a long-term passion for sound, music, digital audio and since more recently, machine learning and AI.
With 15 years of professional experience, Guillaume worked as a senior DSP engineer at Dolby in Sydney then founded Lofty Consulting in 2011. Some of Lofty’s achievements include developing algorithms for the bionic ear, improving Dolby Atmos and creating new technology for multi-million Dollar medical device projects.
Guillaume strongly believes that marrying digital signal processing, audio and psycho-acoustic knowledge with machine learning techniques will permit new breakthroughs in the fields of machine listening, auditory scene analysis and human-machine interfaces.
to SAE is via the Students’ Entry, now located on Woodgate St (at
rear of building).
Please report to the Supervisor’s Desk at this entry, and you will be directed to the Lecture Theatre (upstairs in the rear of the building).