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

    6009 Perth

    Australia

  • 1980 Citations
  • 19 h-Index
1992 …2019
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Personal profile

Biography

Roberto Togneri (M89-SM04) received the Ph.D degree in 1989 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 an Associate Professor. He leads the Signal Processing and Recognition Lab and his research activities in signal processing and pattern recognition include: feature learning, detection 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 published over 150 refereed journal and conference papers in the areas of signal processing and recognition, the chief investigator on three Australian Research Council Discovery Project research grants, and is currently the Area Editor for IEEE Signal Processing Magazine Columns and Forums.

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

Research

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

Keywords

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

Fingerprint Dive into the research topics where Roberto Togneri is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 1 Similar Profiles
Acoustics Engineering & Materials Science
Speech recognition Engineering & Materials Science
Neural networks Engineering & Materials Science
Blind source separation Engineering & Materials Science
Observability Engineering & Materials Science
Biometrics Engineering & Materials Science
Controllability Engineering & Materials Science
Fusion reactions Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 1992 2019

A primer on deep learning architectures and applications in speech processing

Ogunfunmi, T., Ramachandran, R. P., Togneri, R., Zhao, Y. & Xia, X., 11 Jun 2019, In : Circuits, Systems, and Signal Processing. 38, 8, p. 3406–3432

Research output: Contribution to journalReview article

Speech Processing
Speech processing
Speech recognition
Computer vision
Pattern Analysis

A Survey: Neural Network-Based Deep Learning for Acoustic Event Detection

Xia, X., Togneri, R., Sohel, F., Zhao, Y. & Huang, D., 21 Mar 2019, In : Circuits, Systems, and Signal Processing.

Research output: Contribution to journalArticle

Event Detection
Acoustics
Neural Networks
Neural networks
Speech Processing

Auxiliary Classifier Generative Adversarial Network with Soft Labels in Imbalanced Acoustic Event Detection

Xia, X., Togneri, R., Sohel, F. & Huang, D., Jun 2019, In : IEEE Transactions on Multimedia. 21, 6, p. 1359-1371

Research output: Contribution to journalArticle

Labels
Classifiers
Acoustics
Acoustic waves

Convolutional neural network with second-order pooling for underwater target classification

Cao, X., Togneri, R., Zhang, X. & Yu, Y., 15 Apr 2019, In : IEEE Sensors Journal. 19, 8, p. 3058-3066

Research output: Contribution to journalArticle

Neural networks
learning
Acoustics
Sonar
filters

Deep learning for scene understanding

Nadeem, U., Shah, S. A. A., Sohel, F., Togneri, R. & Bennamoun, M., 19 Mar 2019, Handbook of deep learning applications. Balas, V. E., Roy, S. S., Sharma, D. & Samui, P. (eds.). Cham: Springer, p. 21-51 27 p. (Smart Innovation, Systems and Technologies; vol. 136).

Research output: Chapter in Book/Conference paperChapter

Computer vision
Neural networks
Network architecture
Hardware
Deep learning

Projects 1997 2017