introduction music information retrieval and ml multi-modality in mir conclusions Multi-Modal Music Information Retrieval - Visualisation and Evaluation of Clusterings by Both Audio and Lyrics Robert Neumayer and Andreas Rauber {neumayer,rauber}@ifs.tuwien.ac.at Vienna University of Technology Institute for Software Technology and Interactive Systems Favoritenstraße 9-11, 1040, Vienna, Austria presented at RIAO’07 May 30, 2007 1/22
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Multi-Modal Music Information Retrieval - Visualisation ...€¦ · Visualisation and Evaluation of Clusterings by Both Audio and Lyrics Robert Neumayer and Andreas Rauber...
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introduction music information retrieval and ml multi-modality in mir conclusions
Multi-Modal Music Information Retrieval -Visualisation and Evaluation of Clusterings
by Both Audio and Lyrics
Robert Neumayer and Andreas Rauber{neumayer,rauber}@ifs.tuwien.ac.at
Vienna University of TechnologyInstitute for Software Technology and Interactive Systems
Favoritenstraße 9-11, 1040, Vienna, Austria
presented at RIAO’07May 30, 2007
1/22
introduction music information retrieval and ml multi-modality in mir conclusions
motivation for multi-modal analysis
generally increasing amount of digital audio
private userscommercial holdings
novel interfaces & music classification
clustering/maps: PlaySOM,PocketSOMPlayerclassification into categories: genres,emotions, situations,. . .
explore the influence of relevant information
christmas songslove songsspoken documents
2/22
introduction music information retrieval and ml multi-modality in mir conclusions
motivation for multi-modal analysis
generally increasing amount of digital audio
private userscommercial holdings
novel interfaces & music classification
clustering/maps: PlaySOM,PocketSOMPlayerclassification into categories: genres,emotions, situations,. . .
explore the influence of relevant information
christmas songslove songsspoken documents
3/22
introduction music information retrieval and ml multi-modality in mir conclusions
motivation for multi-modal analysis
generally increasing amount of digital audio
private userscommercial holdings
novel interfaces & music classification
clustering/maps: PlaySOM,PocketSOMPlayerclassification into categories: genres,emotions, situations,. . .
explore the influence of relevant information
christmas songslove songsspoken documents
4/22
introduction music information retrieval and ml multi-modality in mir conclusions
what to expect from this presentation
information retrieval
text irmusic ir
integration of both audio and text features
clustering
self-organising map (som)multi-modal clustering
user interface
multi-modal cluster evaluation
5/22
introduction music information retrieval and ml multi-modality in mir conclusions