Professor Naomi Harte

Naomi is Professor in Speech Technology in the School of Engineering in Trinity College. She is Co-PI and a founding member of the ADAPT SFI Centre. In ADAPT, she has led a major Research Theme centered on Multimodal Interaction involving researchers from Universities across Ireland and was instrumental in developing the future vision for the Centre for 2021-2026. She is also a lead academic of the hugely successful Sigmedia Research Group in the School of Engineering. She was appointed as an SFI Engineering Initiative Lecturer in Digital Media in TCD in 2008 (Stokes Programme). Prior to returning to academia, Naomi worked in high-tech start-ups in the field of DSP Systems Development, including her own company. She also previously worked in McMaster University in Canada. She was a Visiting Professor at ICSI in 2015, and became a Fellow of TCD in 2017. She earned a Google Faculty Award in 2018 and was shortlisted for the AI Ireland Awards in 2019. She currently serves on the Editorial Board of Computer Speech and Language and was General Chair of INTERSPEECH 2023 in Dublin. Naomi's research centres around Human Speech Communication. She likes to consider speech as something we both hear and see, with a strong multimodal aspect to her work. Her research involves the design and application of mathematical algorithms to enhance or augment speech communication between humans and technology. Much of that work is underpinned by signal processing and machine learning, but also requires an understanding of how humans interact. Her current research projects include audio-visual speech recognition, speech synthesis evaluation, multimodal speech analysis, and birdsong. Her industrial background brings a real-world approach to her research.

  Audio-visual speech processing   Birdsong Analysis   Emotion in Speech   Human-Computer Interaction   Information/Communication Systems   Multimedia   Signal Processing   Speaker Recognition   SPEECH   Speech Biometrics   Speech processing/technology   Speech Quality   SPEECH RECOGNITION