SoundTracer workshop 2018: When Music meets Computer Science (Meinard Müller) скачать в хорошем качестве

SoundTracer workshop 2018: When Music meets Computer Science (Meinard Müller)

Beethoven, Bach, and Billions of Bytes - When Music meets Computer Science (Meinard Müller) Significant digitization efforts have resulted in large music collections, which comprise music-related documents of various types and formats including text, symbolic data, audio, image, and video. For example, in the case of an opera there typically exist digitized versions of the libretto, different editions of the musical score, as well as a large number of performances given as audio and video recordings. In the field of music information retrieval (MIR) great efforts are directed towards the development of technologies that allow users to access and explore music in all its different facets. For example, during playback of some CD recording, a digital music player may present the corresponding musical score while highlighting the current playback position within the score. On demand, additional information about melodic and harmonic progression or rhythm and tempo is automatically presented to the listener. A suitable user interface displays the musical structure of the current piece of music and allows the user to directly jump to any key part within the recording without tedious fast-forwarding and rewinding. Furthermore, the listener is equipped with a Google-like search engine that enables him to explore the entire music collection in various ways: the user creates a query by specifying a certain note constellation, some harmonic progression, or rhythmic patterns, by whistling a melody, or simply by selecting a short passage from a CD recording; the system then provides the user with a ranked list of available music excerpts from the collection that are musically related to the query. In this talk, I provide an overview of a number of current research problems in the field of music information retrieval and indicate possible solutions. Furthermore, I want to discuss to which extent computer-based methods may help users to better access and explore music in all its different facets. ​Meinard Müller studied mathematics (Diplom) and computer science (Ph.D.) at the University of Bonn, Germany. In 2002/2003, he conducted postdoctoral research in combinatorics at the Mathematical Department of Keio University, Japan. In 2007, he finished his Habilitation at Bonn University in the field of multimedia retrieval. From 2007 to 2012, he was a member of the Saarland University and the Max-Planck Institut für Informatik leading the research group "Multimedia Information Retrieval and Music Processing" within the Cluster of Excellence on "Multimodal Computing and Interaction". Since September 2012, Meinard Müller holds a professorship for Semantic Audio Processing at the International Audio Laboratories Erlangen, whichis a joint institution of the Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) and the Fraunhofer-Institut für Integrierte Schaltungen IIS. His recent research interests include music processing, music information retrieval, audio signal processing, and motion processing. Meinard Müller has been a member of the IEEE Audio and Acoustic Signal Processing Technical Committee from 2010 to 2015 and is a member of the Board of Directors of the International Society for Music Information Retrieval (ISMIR) since 2009. He has co-authored more than 100 peer-reviewed scientific papers, wrote a monograph titled Information Retrieval for Music and Motion (Springer, 2007) as well as a textbook titled Fundamentals of Music Processing (Springer, 2015).