I am a senior scientist at Fraunhofer IDMT with a focus on applied research in music information retrieval & machine listening. Here, I combine techniques from machine learning / deep learning and audio signal processing. Also, I have a big passion for playing & teaching music (bass guitar & percussion).
News
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Last week, I gave a presentation entitled “Erkennung akustischer Quellen in komplexen Szenarien” (in German) at the 17. Jenaer Akustik-Tag.
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Published a novel version of the Urban Sound Monitoring (USM) dataset for sound event tagging in polyphonic soundscapes.
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Small dataset published for piano multipitch estimation evaluation: PIANO-AUG - Piano Multipitch Estimation with Augmentation Dataset
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Paper accepted for the AES Europe Spring 2022 (AES’s 152nd convention): “Classifying Sounds in Polyphonic Urban Sound Scenes”
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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)
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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
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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)
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New pre-print published: Towards Audio Domain Adaptation for Acoustic Scene Classification using Disentanglement Learning (collaboration with Prof. Meinard Müller)
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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)
Projects
- Machine Listening for Music and Sound Analysis - 6-part lecture on audio signal processing & deep learning applied for music information retrieval (MIR) and environmental sound analysis (ESA)
- The lecture will be held for the second time this winter semester at the TU Ilmenau Lecture Page and will be continuously extended in the upcoming years.
- Groovecell - Online Learning for Bass and Drums
- LMNT7 - Progressive Rock