Attila Zoltán Jenei
Conduct research at the Doctoral School of Informatics (institution of Budapest University of Technology and Economics). The PhD research focuses on the multimodal recognition of the Parkinson's disease.
Core skills: Python, Matlab, RapidMiner
Areas of interest: Signal Processing, Machine Learning, Data Science, Statistics
Contact information:
Room: IB157
E-mail: jenei [@] tmit.bme.hu
Current projects
- OTKA program - Diagnostic possibilities of speech disorders caused by abnormal speech-forming organ lesions, neurological and psychiatric disorders using artificial intelligence
- OTKA program - FORENSICspeech: Forensic Voice analysis using Hungarian follow-up voice database
Teaching activity
Holding laboratory occasions, correcting class assignments:- Basics of Programming (BMEVIEEBA01)
- Speech Information Systems (BMEVITMAD00)
- Project Laboratory 1 (BMEVITMML00)
- Project Laboratory 2 (BMEVITMML01)
Publication List
PhD Thesis
MSc Thesis
-
Possibilities of automatic speech-based separation of Parkinson's disease, depression and voice disorders with 2D convolutional neural networks (2020, in Hungarian)
Available (after login): BME VIK Diplomaterv Portál
Scientific Students’ Associations Conference
- Automatic speech-based recognition of depression with 2D convolutional networks;
Section: Signal Processing (2019, in Hungarian) - Analysis of sampling number based on PDA measurements of air-assested atomizer;
Section: Energy systems modeling (2017, in Hungarian)
Hobbies
- Reading psychology
- Playing guitar
- Hiking
- Swimming