Skip to search formSkip to main contentSkip to account menu
Content-Based Music Information Retrieval: Current Directions and Future Challenges
TLDR
The problems of content-based music information retrieval are outlined and the state-of-the-art methods using audio cues and other cues are explored, and some of the major challenges for the coming years are identified.
View on IEEE
Analysis of Minimum Distances in High-Dimensional Musical Spaces
TLDR
An automatic method for measuring content-based music similarity, enhancing the current generation of music search engines and recommended systems and compatible with locality-sensitive hashing-allowing implementation with retrieval times several orders of magnitude faster than those using exhaustive distance computations.
View on IEEE
Linked Data and You: Bringing Music Research Software into the Semantic Web
TLDR
The extent to which the OMRAS2 tools and frameworks can assist in research and facilitate distributed work among audio and music researchers is assessed, and further steps to improve collaborative efforts in music informatics using the Semantic Web are motivated.
View on Taylor & Francis
Using duration models to reduce fragmentation in audio segmentation
TLDR
It is shown experimentally that the generated segmentations suffer much less from fragmentation than those produced by segmentation algorithms based on clustering, and are closer to an expert listener’s annotations, as evaluated by two different performance measures.
View on Springer
Theory and Evaluation of a Bayesian Music Structure Extractor
TLDR
This work extends previous work on automatic summarization and structure extraction by providing a model for segment end-points posed in a Bayesian framework and evaluating the model in an automatic structure segmentation experiment against a ground truth of human judgements.
View Paper
Algorithms for Determining and Labelling Approximate Hierarchical Self-Similarity
We describe an algorithm for finding approximate sequence similarity at all scales of interest, being explicit about our modelling assumptions and the parameters of the algorithm. We further present…
View Paper
Breathy, Resonant, Pressed – Automatic Detection of Phonation Mode from Audio Recordings of Singing
TLDR
The steps needed to generalize and extend the experimental work presented in this paper in order to apply the automatic detection of phonation modes from recordings of sustained sung vowels in ethnomusicological investigations are examined.
View on Taylor & Francis
Multiple Viewpoint Systems: Time Complexity and the Construction of Domains for Complex Musical Viewpoints in the Harmonization Problem
TLDR
This article focuses on the development of representational and modelling techniques, within the framework of multiple viewpoint systems and Prediction by Partial Match, for the creation of statistical models of four-part harmony by machine learning.
View on Taylor & Francis
Analysis and Exploitation of Musician Social Networks for Recommendation and Discovery
TLDR
An extensive analysis of a sample of a social network of musicians, using standard complex network techniques to verify that it has similar properties to other web-derived complex networks, and hybrid graphs and distance measures are constructed, and used to examine the community structure of the artist network.
View on IEEE
Social Playlists and Bottleneck Measurements: Exploiting Musician Social Graphs Using Content-Based Dissimilarity and Pairwise Maximum Flow Values
TLDR
A means of constructing playlists using the maximum flow value to exploit both the social and acoustic distances is realized.
...
...
By clicking accept or continuing to use the site, you agree to the terms outlined in our Privacy Policy, Terms of Service, and Dataset License