Term-weighting approaches in automatic text retrieval
Information Processing and Management: an International Journal
An overview of audio information retrieval
Multimedia Systems - Special issue on audio and multimedia
Self-Organizing Maps
Using Smoothed Data Histograms for Cluster Visualization in Self-Organizing Maps
ICANN '02 Proceedings of the International Conference on Artificial Neural Networks
The SOMLib Digital Library System
ECDL '99 Proceedings of the Third European Conference on Research and Advanced Technology for Digital Libraries
Automatically Analyzing and Organizing Music Archives
ECDL '01 Proceedings of the 5th European Conference on Research and Advanced Technology for Digital Libraries
MARSYAS: a framework for audio analysis
Organised Sound
MARSYAS: a framework for audio analysis
Organised Sound
Introduction to Data Mining, (First Edition)
Introduction to Data Mining, (First Edition)
Natural language processing of lyrics
Proceedings of the 13th annual ACM international conference on Multimedia
An innovative three-dimensional user interface for exploring music collections enriched
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
Integration of text and audio features for genre classification in music information retrieval
ECIR'07 Proceedings of the 29th European conference on IR research
Analytic Comparison of Self-Organising Maps
WSOM '09 Proceedings of the 7th International Workshop on Advances in Self-Organizing Maps
Recognition and visualization of music sequences using self-organizing feature maps
KI'10 Proceedings of the 33rd annual German conference on Advances in artificial intelligence
Unsupervised tagging of spanish lyrics dataset using clustering
MLDM'13 Proceedings of the 9th international conference on Machine Learning and Data Mining in Pattern Recognition
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Navigation in and access to the contents of digital audio archives have become increasingly important topics in Information Retrieval. Both private and commercial music collections are growing both in terms of size and acceptance in the user community. Content based approaches relying on signal processing techniques have been used in Music Information Retrieval for some time to represent the acoustic characteristics of pieces of music, which may be used for collection organisation or retrieval tasks. However, music is not defined by acoustic characteristics only, but also, sometimes even to a large degree, by its contents in terms of lyrics. A song's lyrics provide more information to search for or may be more representative of specific musical genres than the acoustic content, e.g. 'love songs' or 'Christmas carols'. We therefore suggest an improved indexing of audio files by two modalities. Combinations of audio features and song lyrics can be used to organise audio collections and to display them via map based interfaces. Specifically, we use Self-Organising Maps as visualisation and interface metaphor. Separate maps are created and linked to provide a multi-modal view of an audio collection. Moreover, we introduce quality measures for quantitative validation of cluster spreads across the resulting multiple topographic mappings provided by the Self-Organising Maps.