Scholar
John Mendonça
Google Scholar ID: NKaZV4MAAAAJ
INESC-ID
Citations & Impact
Citations
89
H-index
7
i10-index
4
Publications
19
Co-authors
0
Publications
Resume
Academic Achievements
- Published paper: 'Analyzing Breath Signals for the Interspeech 2020 ComParE Challenge', co-authored by John Daniel Fidalgo Mendonça, Francisco Teixeira, Isabel Trancoso, and Alberto Abad.
Research Experience
- During his Master's, he led the HLT Team's contribution to the ComParE 2020 Breathing sub-challenge, which pertains to the estimation of breathing signals. He is now a PhD student under the PDEEC program and serves as a Teaching Assistant for Spoken Language Processing.
Education
- Obtained MSc degree in 2020 with the thesis titled 'Automatic Detection of Profile Features'. Currently, he is a PhD Student in the Doctoral Programme in Electrical and Computer Engineering at IST, participating in the MAIA project, a CMU/INESC-ID/IT/Unbabel collaboration focused on Intelligent AI Agents in chatbots.
Background
- Research interests include speech processing techniques, speaker recognition, and paralinguistics. Recently, his research focus has shifted towards Natural Language Processing, with a particular emphasis on conversational agent evaluation metrics.
Miscellany
- Contact: john.mendonca@inesc-id.pt; Role: Junior Researcher | PhD Student; Affiliation: Human Language Technologies Lab, INESC-ID | Instituto Superior Técnico; Address: Rua Alves Redol, 9, 1000-029 Lisboa, Portugal