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Trinity College Dublin

Personal Information
College Photo Name Harte, Naomi
Main Department Electronic & Elect. Engineering
College Title Assistant Prof. in Digital Media Systems
College Tel +353 1 896 1861
Dr. Harte is an Assistant Professor in Digital Media Systems in the School of Engineering. She was appointed as an SFI Engineering Initiative Lecturer in Digital Media in 2008. Prior to returning to academia, Dr. Harte worked in high-tech start-ups in the field of DSP Systems Development, including her own company founded in 2002. She also previously worked in McMaster University in Canada. Dr. Harte’s specialist area is Human Speech Communication. Her industrial background brings a real-world approach to her research. Her work involves the design and application of mathematical algorithms to enhance or augment speech communication between humans and technology. Since her appointment, she has established a strong international reputation in the speech processing community. Dr. Harte’s research simultaneously represents academic excellence and industrial relevance. She has published over 60 peer reviewed papers in her specialist areas. For the past two years, Dr. Harte has been involved in a major collaboration with Google Chrome and YouTube, leading to multiple patent applications and publications.
Details Date
• TCD Representative to MIDAS (MicroElectronics Design Association of Ireland) • Irish representative to the EU COST Action 2101 entitled “Biometrics for Identity Documents and Smart cards” • Irish representative to the EU COST Action IC1006 Integrating Biometrics and Forensics for the Digital Age • ICT Evaluator for FP6 ICT Call FP6-2004-SME-COOP in Co-operative research (Research involving SMEs, Universities and research organisations). Acted as Group Rapporteur. • Expert Evaluator for FP7 Call FP7-REGIONS-2012-2013-1 in Transnational cooperation between regional research-driven clusters (Feb & March 2012)
Membership of Professional Institutions, Associations, Societies
Details Date From Date To
IEEE (Institute of Electrical and Electronics Engineers) ISCA (International Speech Communication Association) EURASIP (European Association for Signal Processing)
Awards and Honours
Award Date
British Telecom Research Scholarship 1997-1999
IEE Leslie H. Paddle Scholarship 1995-1998
Glen Dimplex British Council Chevening Scholarship 1995-1996
Awarded a Gold Medal for Distinction in Engineering upon graduation. 1995
Maurice F. Fitzgerald Prize - first overall in the Engineering Faculty in the Degree exams. 1995
More Awards and Honours>>>
Research Interests
Audio-visual speech processing Birdsong Analysis Emotion in Speech Human-Computer Interaction
Information/Communication Systems Multimedia SPEECH SPEECH RECOGNITION
Signal Processing Speaker Recognition Speech Biometrics Speech Quality
Speech processing/technology
Research Projects
Project title Dynamic Visual Features and Improved Audio-Visual Fusion for Automatic Speech Recognition
Summary Human speech is bimodal in nature. Incorporating visual features in Automatic Speech Recognition systems can improve performance in real environments. This work addresses core challenges in audio-visual speech recognition. It will develop new dynamic visual features that better capture the correlations in key mouth movements used by humans in lipreading. This is crucial in improving Hidden Markov Model performance. It will explore a new audio-fusion strategy motivated by the differing visibility of visemes allowing the influence of the audio and video stream to change over time.
Funding Agency SFI
Programme RFP
Type of Project
Date from Oct. 2009
Date to Sept. 2013
Person Months

Project title Robust Speaker Verification
Summary Biometrics involves the use of intrinsic physical or behavioural traits of humans to verify their identity. Traits used in biometrics typically include face, fingerprints, hand geometry, handwriting, iris, retinal, vein, and voice. Many are concerned that these technologies are potentially invasive and open to fraud. Speaker verification, using voice or voice and video, has been recognised as an important alternative in the world of biometrics. It is less invasive and requires less expensive installations that iris and fingerprint authentication systems. The changes that occur in the human voice due to ageing have been well documented. The impact of these changes on speaker verification is less clear. In this work, we examine the effect of long-term vocal ageing on a speaker verification systems.
Funding Agency IRCSET
Type of Project
Date from 2009
Date to 2012
Person Months 36

Project title Audio-Visual Fusion for Human Computer Interaction.
Summary This project will thus focus on key challenges in Audio Visual Speech Recognition: • Given state of the art audio and visual features, do early or late integration strategies work better? • How well does such an integration scheme translate to less controlled situations, where the speech is less constrained, intonation or prosody is more natural, or the speech is emotionally influenced? • Can these algorithms work on a real handheld device?
Funding Agency IRCSET
Type of Project
Date from 2011
Date to 2014
Person Months

Project title Speech Quality for VoIP
Summary This project is developing new metrics to measure speech quality for VoIP applications, particularly Google Chrome WebRTC
Funding Agency Google Inc
Type of Project Industrially sponsored research
Date from April 2011
Date to April 2012
Person Months 12

Project title Advanced Metrics for Audio-Visual Signal Quality in Internet Communications
Funding Agency Enterprise Ireland/Google
Programme IPP
Type of Project Research
Date from Sept 2013
Date to Dec 2014
Person Months 42

Publications and Other Research Outputs
Peer Reviewed
Action Recognition in Multimedia Streams in, editor(s)Petros Maragos, Alexandros Potamianos, Patrick Gros , Multimodal Processing and Interaction, Springer Verlag. , 2008, [Daire Lennon, Naomi Harte, and Anil Kokaram, Rozenn Dahyot, Francois Pitie]
Notes: [Multimedia Systems and Applications (Book Series)]
David Corrigan, Naomi Harte, Anil Kokaram, Pathological Motion Detection for Robust Missing Data Treatment, EURASIP Journal on Advances in Signal Processing, 2008, 2008, pArticle ID 542436
Corrigan, David; Harte, Naomi; Kokaram, Anil;, Automated Segmentation of Torn Frames using the Graph Cuts Technique, Image Processing, IEEE International Conference on Image Processing, 2007. ICIP 2007., San Antonio, TX, USA , 2007, (Sept. 16-Oct. 19), 2007, pp557-560
TARA - Full Text  DOI  URL
Harte, Naomi; Rankin, Andrew; Baugh, Gary; Kokaram, Anil;, Detection of Illegal Dumping from CCTV at Recycling Centres, International Machine Vision and Image Processing, International Machine Vision and Image Processing Conference, Kildare, Ireland , 2007, (5-7 Sept. ), 2007, pp204
TARA - Full Text  URL
Corrigan, D. Harte, N. and Kokaram, A. , Pathological motion detection for robust missing data treatment in degraded archived media, Image Processing, IEEE International Conference on Image Processing 2006, Atlanta, GA , 8-11 Oct. 2006 , 2006, pp621 - 624
TARA - Full Text  DOI  URL
More Publications and Other Research Outputs >>>

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Last Updated:20-SEP-2014