• The University of Western Australia (M018), 35 Stirling Highway,

    6009 Perth


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Personal profile


Roberto Togneri received the Ph.D degree in 1989 both from the University of Western Australia. He joined the School of Electrical, Electronic and Computer Engineering at The University of Western Australia in 1988, where he is now currently a Level D Professor. He leads the Signal Processing and Recognition Lab and his research activities in signal processing and pattern recognition include: feature extraction and enhancement of audio signals, statistical and neural network models for speech and speaker recognition, audio-visual recognition and biometrics, and related aspects of language modelling and understanding. He has received over 3200 citations since 2016 in the areas of signal processing, awarded the Education Innovation Award for ground-breaking contributions to teaching in Signals and Systems at ICASSP 2019, a chief investigator on three Australian Research Council Discovery Project research grants 2009 to 2017, an Associate Editor for the IEEE Signal Processing Society publications from 2012 to 2016, and Area Editor for the IEEE Signal Processing Magazine, Columns and Forums from 2018 to 2020.

Roles and responsibilities

Head of Department

Funding overview

ARC DP110103336 "Development of a Three Dimensional Audio-Visual Next Generation Speech Recognition System" $279,000 (2011-2013)
ARC DP1096348 "Robust Speech Recognition in Hostile Environments" $230,000 (2010-2012)

Teaching overview

ENSC3015 Signals and Systems
ELEC4404 Signal Processing


Speech and Audio Enhancement and Recognition
Spoken Language Systems
Audio-Visual Recognition
Biometric Identification

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being
  • SDG 7 - Affordable and Clean Energy
  • SDG 14 - Life Below Water

Research expertise keywords

  • Signal processing
  • Speech enhancement
  • Speech recognition
  • Machine learning


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Collaborations and top research areas from the last five years

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