💼 I am a senior scientist and principal investigator at Fraunhofer IDMT with a focus on applied research in music information retrieval & machine listening.

🎓 I’m currently working on my habilitation Computational Analysis of Sounds and Music at the TU Ilmenau.

🔬 In my research, I combine techniques from machine learning / deep learning and audio signal processing. I mainly focus on two application scenarios:

• Environmental Sound Analysis - Here, I work mostly on sound event detection, sound polyphony estimation, acoustic scene classification, and applications for urban sound monitoring and bioacoustic research.

• Music Information Retrieval - Here, I’m mostly interested in automatic music transcription and instrument recognition.

👨‍🏫 Teaching

As a central part of my habilitation, I’m active in university teaching:

• Computational Analysis of Sound and Music - Full semester lecture (English) at TU Ilmenau to be first held in the summer semester 2024, which will cover fundamentals in audio signal processing and machine/deep learning, application scenarios in music information retrieval and environmental sound analysis, as well as a practical research project (contact me if you’re interest in participating!)

• Machine Listening for Music and Sound Analysis - 6-part lecture (English) on audio signal processing & deep learning applied for music information retrieval (MIR) and environmental sound analysis (ESA). The lecture took place for the fifth time in the winter semester 2023/2024 at the TU Ilmenau. The lecture & seminar material can be found on the Lecture Page.

• KI-gestützte Audioanalyse von Musik und Soundscapes - Bi-weekly seminar (German) in the winter semester 2022/2023 at the HfM Weimar in cooperation with Prof. Martin Pfleiderer. The lecture material can be found on the Lecture Page.

🎸 🥁 🎧 Music

I have a big passion for playing & teaching music (bass guitar & percussion).

• Groovecell - Online Learning for Bass and Drums
  • Youtube Channel
• LMNT7 - Progressive Rock Band (Ilmenau)
  • BandCamp

🔔 News

• 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.

• I will co-organize a special session entitled Machine Learning for Acoustic Scene Understanding with Prof. Sebastian Stober at the Inter-Noise 2024

• 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)

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