to revolutionize the world of music through pioneering research in Music Information Retrieval (MIR), focusing on automatic music transcription. Our dedication drives us to push boundaries, exploring uncharted territories to develop extraordinary products. By harnessing cutting-edge technologies, data analysis, and AI, we aim to unlock the intricate secrets of music, transcending limitations and creating tools that inspire musicians, transform industries, and enrich lives. Our commitment to innovation empowers us to shape the future of music, making it more accessible, expressive, and enjoyable for all.
Our primary objective is to foster innovation that has the potential to empower
not just individual musicians but the entire music industry as a whole.
Advancing music transcription through innovative research, capturing melodies and harmonies with precision and speed.
Exploring downbeat detection: Unraveling rhythmic patterns for enhanced music understanding and analysis.
Advancing chord recognition: Unveiling the harmonic fabric of music through innovative research.
Advancing music through precise rhythm quantization: Unlocking rhythm's impact on perception and performance.
Pushing boundaries in music signal processing research to unlock hidden insights and enhance musical analysis.
Advancing music source separation: Unraveling distinct elements within music recordings for enhanced clarity.
Our latest student research projects:
We offer Bachelor and Master’s theses in corporation with the Karlsruhe Institute of Technology (KIT) and the Hochschule für Musik Karlsruhe. You are looking for an exciting topic for your thesis, take a look at the IIIIT’s homepage for opportunities.
Latest news and publications from our research team.
Late-Breaking / Demo Session Extended Abstract, ISMIR 2022 Conference
Strumming is a guitar playing technique where instead of playing individual notes, the player
strokes over the strings of a chord in an up-or downwards direction. Due to the very short …
Journal of the Audio Engineering Society
Automatic music transcription with note level output is a current task in the field of music
information retrieval. In contrast to the piano case with very good results using available large …
International Conference on SMART MULTIMEDIA, 2022
Music signals can nowadays be recorded and further processed by lots of different devices
in order to extract additional information like instruments and genre or use parts of those …
Have questions, ideas, or collaborations in mind? We’re here to listen. Reach out to our resesach team for inquiries, partnerships, and more. Your input fuels our innovation.
Let’s shape the future of music together!
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