German Research Foundation funds music informatics

The German Research Foundation (DFG) is providing 1.25 million euros in funding for artificial intelligence tools to decipher complex characteristics and hidden relationships in music.

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Meinrad Müller (Image: FAU/Georg Pöhlein)

The support will enable Erlangen-based music computer scientist Meinard Müller to further develop deep learning technologies that extract complex features and hidden relationships directly from music signals. As with the analysis of image data, this involves pattern recognition - pitches, chords and rhythm, but also vocal lyrics. For example, algorithms that are able to find the right song based on a pre-hummed melody or make suggestions for songs with a similar rhythm are used for this purpose.

Meinard Müller has been Professor of Semantic Audio Signal Processing at the International Audio Laboratories Erlangen, AudioLabs for short, since 2012. AudioLabs is a joint project of the Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) and the Fraunhofer Institute for Integrated Circuits IIS, in which the MP3 format was developed.

More info:
https://www.fau.de/2023/03/news/leute/musikinformatiker-der-fau-erhaelt-dfg-foerderung-von-125-millionen-euro/

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