Audio signal processing and machine learning for music analysis
Audio signal processing and machine learning are revolutionizing music analysis. From audio matching to music annotation and similarity search, from automatic music transcription to music generation, new application possibilities are emerging for broadcast monitoring, music search and recommendation, music production, and music learning programs.
Our goal is to enable quick and customized access to musical content through our approaches and techniques for automatic music analysis. We are developing practical solutions that are applicable in various domains such as the music industry, entertainment, education, and music production. In addition to enhancing existing technologies, we aim to showcase new application possibilities for automatic music analysis and contribute to the evolution of algorithms and methods.