About me (short CV)
About me (short CV)
I received my Diploma degree in computer engineering from Technische Universität Ilmenau, Germany, in 2008 and the Ph.D. degree in media technology under supervision of Gerald Schuller in 2014.
Since 2008, I have been affiliated with the Fraunhofer Institute for Digital Media Technology(IDMT), Ilmenau.
In 2010, I completed a research stay at the Centre of Excellence in Music, Mind, Body and Brain, University of Jyväskylä, Finland and collaborated with Petri Toiviainen, Olivier Lartillot, and Tuomas Eerola.
From 2012 to 2017, I also worked on the Jazzomat research project at the University of Music Franz Liszt, Weimar, Germany lead by Martin Pfleiderer.
Since 2018, I have been a Principal Investigator and, since 2021, a Senior Scientist with Fraunhofer IDMT.
Between 2022 and 2025, I was a visiting postdoctoral researcher with the Semantic Audio Processing Group at International Audio Laboratories, Erlangen, Germany lead by Meinard Müller.
In September 2025, I took up a tenure-track professorship for Computational Humanities at the University of Bamberg, Germany.
My research interests include
- Soundscape
- Detection and Classification of Acoustic Scenes and Events (DCASE)
- Music Information Retrieval (MIR)
- Digital Humanities
🔔 News
- 01.03.2026: I am very happy to welcome Marcello Lussana as the first post-doctoral researcher in my group in Bamberg.
- 01.09.2025: Today is my first working day as a tenure-track professor at the University of Bamberg :)
- 05.06.2025: I’m very happy that two papers I co-authored were accepted to the DCASE Workshop 2025
- Dilip Harish, Jakob Abeßer: A Three-Level Evaluation Protocoll for Acoustic Scene Understanding of Large Language Audio Models
- Yuxuan He, Alexander Raake, Jakob Abeßer: Enhancing Multiscale Features for Efficient Acoustic Scene Classification with One-Dimensional Separate CNN
- 07.06.2025: I’m happy that two papers I co-authored were accepted to the 2025 AES International Conference on Artificial Intelligence and Machine Learning for Audio
- Ravi Kumar, Sascha Grollmisch, and Jakob Abeßer: Improvement and Cross-Domain Evaluation of SlowFast Networks
- Yuxuan He, Alireza Molla Ali Hosseini, Jakob Abeßer, Lina Jaurigue, Alexander Raake, and Kathy Lüdge: From CNN to Reservoir Computing: A New Perspective on Acoustic Scene Classification
- 01.04.2025: I contributed a blog post on the vera.ai project website about my recent visit to the 51st Annual Meeting on Acoustics (DAS/DAGA 2025) in Copenhagen
- 20.03.2025: I was interviewd for the second episode of the DLG Podcast Agriculture: BioMonitor4CAP Episode 2 where I talk about our research at Fraunhofer IDMT on bioacoustic analyses 🦅🦆🦇🦗 as part of the BioMonitor4CAP EU project
- 24.09.2024: I gave an introduction lecture entitled Computational Audio Analysis at the Master Science Camp “Biodiversitätsmonitoring – komplexe Signalanalyse und KI Anwendungen zur Vogelstimmenerkennung” at the TU Ilmenau yesterday.
- 21.09.2024: I will organize a special session entitled Acoustic Scene Analysis using Artificial Intelligence at the DAS/DAGA 2025 - 51st Annual Meeting on Acoustics in Copenhagen, Denmark from March 17-20 2025 together with Dr. Toni Heittola.
- 20./21.03.2024: I co-organized a structured session entitled Sound Analysis for Music and Audio Signals at the DAGA 2024 together with Prof. Meinard Müller and Prof. Stefan Balke. We had 15 great presentations covering topics from music analysis, speech processing, as well as environmental sound analysis.
- 12.12.2023: I’m happy to share that our journal article Human and Machine Performance in Counting Sound Classes in Single-Channel Soundscapes has been published in the Journal of the Audio Engineering Society (JAES). This has been a great collaboration with my IDMT colleagues Asad Ullah, Sascha Grollmisch and Sebastian Ziegler.
- 06.12.2023: I was invited by Prof. Dr.-Ing. Anna Kruspe to give two guest lectures on Environmental Sound Analysis at the Technische Hochschule Nürnberg Georg Simon Ohm.
- 10.10.2023: I will co-organize a special session entitled Machine Learning for Acoustic Scene Understanding with Prof. Sebastian Stober at the Inter-Noise 2024
- 11.07.2023: I’m happy to share that our article How Robust are Audio Embeddings for Polyphonic Sound Event Tagging? was published in the IEEE/ACM Transactions on Audio, Speech, and Language Processing (https://ieeexplore.ieee.org/document/10178070). This has been a great colaboration with Sascha Grollmisch and Prof. Meinard Müller
- 22.09.2022: I co-organized a structured session entitled Sound Analysis for Music and Audio Signals (Details) at the DAGA 2023 together with Prof. Meinard Müller and Prof. Sebastian Stober
- 20.07.2022: I’m honored to be invited to be part of the editorial board of the EURASIP Journal on Audio, Speech, and Music Processing
- 14.07.2022: Our ISMIR paper Multi-pitch Estimation meets Microphone Mismatch: Applicability of Domain Adaptation (co-authored with Franca Bittner, Marcel Gonzales, Maike Richter, and Hanna Lukashevich) was accepted!
- 19.05.2022: I gave a talk at the AES Europe Spring Convention on Classifying Sounds in Polyphonic Urban Sound Scenes, where I introduced the Urban Sound Monitoring (USM) dataset
- 27.04.2022: I gave a presentation entitled “Erkennung akustischer Quellen in komplexen Szenarien” (in German) at the 17. Jenaer Akustik-Tag.
- Published a novel version of the Urban Sound Monitoring (USM) dataset for sound event tagging in polyphonic soundscapes.
- Small dataset published for piano multipitch estimation evaluation: PIANO-AUG - Piano Multipitch Estimation with Augmentation Dataset
- Paper accepted for the AES Europe Spring 2022 (AES’s 152nd convention): “Classifying Sounds in Polyphonic Urban Sound Scenes”
- Abstract accepted at the DMRN+16 Digital Music Research Network One-day Workshop 2021: A Benchmark Dataset to Study Microphone Mismatch Conditions for Piano Multipitch Estimation on Mobile Devices (collaboration with Franca Bittner, Maike Richter, Marcel Gonzalez, and Hanna Lukashevich)
- Best paper award at the CMMR 2021 for our paper “Deep Learning-Based Music Instrument Recognition: Exploring Learned Feature Representations” (Michael Taenzer, Stylianos I. Mimilakis and Jakob Abeßer): Twitter announcement
- Two abstracts submitted to DAGA 2022: Analyzing Bird and Bat Activity in Agricultural Environments using AI-driven Audio Monitoring (collaboration with Prof. Christoph Scherber, Dr. Svenja Bänsch, Xiaoyi Wang, and Hanna Lukashevich) and Construction-sAIt: Multi-modal AI-driven technologies for construction site monitoring (collaboration with Dr. Alexander Loos and Prachi Sharma)
- New pre-print published: Towards Audio Domain Adaptation for Acoustic Scene Classification using Disentanglement Learning (collaboration with Prof. Meinard Müller)
- I’m a guest editor for the EURASIP Journal on Audio, Speech, and Music Processing (JASM) call: Recent advances in computational sound scene analysis (together with Emmanouil Benetos, Annamaria Mesaros, Wenwu Wang)