High-Level Chord Features Extracted from Audio can Predict Perceived Musical Expression

URI
Version
Published
Date Issued
2017-10-27
Author(s)
Steffens, Jochen
Lepa, Steffen
Herzog, Martin
Peeters, Geoffroy
Egermann, Hauke
Type
Conference Paper
Language
English
Subjects
ML Literature of music
T Technology (General)
Journal or Serie
Extended Abstracts for the Late-Breaking Demo Session of the 18th ISMIR Conference 2017
Publisher URL
Organization
Conference
The 18th International Society for Music Information Retrieval Conference (ISMIR) 2017
Publisher
ISMIR
Submitter
SchönrockA
Citation apa
Steffens, J., Lepa, S., Herzog, M., Schoenrock, A., Peeters, G., & Egermann, H. (2017). High-Level Chord Features Extracted from Audio can Predict Perceived Musical Expression. In Extended Abstracts for the Late-Breaking Demo Session of the 18th ISMIR Conference 2017. The 18th International Society for Music Information Retrieval Conference (ISMIR) 2017. ISMIR. https://arbor.bfh.ch/handle/arbor/39057