Scholar
Jakob Abeßer
Google Scholar ID: LP65AWMAAAAJ
Professor (Computational Humanities), Otto-Friedrich-Universität, Bamberg, Germany
Citations & Impact
Citations
1,224
H-index
18
i10-index
33
Publications
20
Co-authors
3
list available
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- Multiple papers accepted to the DCASE Workshop 2025 and the 2025 AES International Conference on Artificial Intelligence and Machine Learning for Audio; contributed to projects like vera.ai and presented at the DAS/DAGA 2025 conference; published an article on human and machine performance in counting sound classes in single-channel soundscapes in the Journal of the Audio Engineering Society (JAES).
Research Experience
- Since 2025, a tenure-track professor for 'Computational Humanities' at the University of Bamberg; still affiliated with Fraunhofer IDMT as a senior scientist. In his research, he combines techniques from machine learning/deep learning and audio signal processing, focusing on two main application scenarios: Soundscape/DCASE and Music Information Retrieval.
Education
- Currently working towards his habilitation degree at Technische Universität Ilmenau.
Background
- Research interests include applications of audio processing for digital humanities research, particularly in the fields of Music Information Retrieval, Soundscape, DCASE, Bioacoustics, and Ecoacoustics.
Miscellany
- Interviewed for the DLG Podcast Agriculture: BioMonitor4CAP Episode 2, discussing bioacoustic analysis research at Fraunhofer IDMT.
