Multiculturality: Challenges
From MIReS
- Identify and characterise music cultures that can be studied from a data driven perspective. For MIR purposes a musical culture can be considered a combination of a user community plus a musical repertoire that can be characterised computationally. Thus we can extract data from the trace left online by a user community, such as online social networks, and from different music data repositories created by that community, especially audio and scores. With this type of data we can then study quite a few aspects of a given musical culture. The challenge is to identify musical cultures that can be studied like this.
- Gather and make available culturally relevant data for different music cultures. Gather different data sources (audio, audio descriptors, editorial metadata, expert data, user commentaries, ...) with which to study and characterise the community+repertoire of the selected cultures. This data has to be made available to the research community.
- Identify specific music characteristics for each culture. Identify particular semantic music concepts and characteristics that are specific to each culture. These should be the aspects that allow us to differentiate the different musical cultures.
- Develop methodologies for culture specific problems. Develop knowledge based data processing approaches that can take advantage of the specificities of each culture, thus modeling the characteristics of each user community and music repertoire.
- Develop specific applications of relevance for each cultural context. The members of each user community might have specific needs and thus the applications to be developed for them should target their context and interests.
- Carry out comparative studies using computational approaches. These comparative studies should be done from the research results obtained in the characterisation and modeling of specific music traditions and repertoires.
