With so much modern music being so widely available both in electronic form and in more traditional physical formats, a great opportunity exists for the development of a general-purpose recognition and music classification system. We describe an ongoing investigation into the subject of musical recognition purely by the sonic content from a standard recording.

The Self-Organizing Map (SOM) [11, 15] is a method for mapping data relationships and distributions in high dimensions to lower dimensions, where they are easier to visualize and process. One of the problems with the SOM is that it needs an externally applied annealing scheme to learn mappings. There is no firm theoretical guidance for selecting annealing schemes and their parameters, something...

We present a system for content-based retrieval of perceptually similar sound events in audio documents (‘sound spotting’, using a query by example. The system consists of three discrete stages: a front-end for feature extraction, a self-organizing map, and a pattern matching unit. Our paper introduces the approach, describes the separate modules and discusses some preliminary results and futur...

PROPRE is a generic and semi-supervised neural learning paradigm that extracts meaningful concepts of multimodal data flows based on predictability across modalities. It consists on the combination of two computational paradigms. First, a topological projection of each data flow on a self-organizing map (SOM) to reduce input dimension. Second, each SOM activity is used to predict activities in ...

We describe an extension to the self-organizing map learning rule enabeling a straightforward visual representation of input data similarity in high-dimensional input structures. The general idea of the extension is to mirror the movement of weight vectors during the training process within a two-dimensional (virtual) output space. The result of the extended training algorithm allows intuitive ...

Purpose – This paper aims to analyze the relationship among measures of resource and service usage and other features of academic libraries in the USA and Canada. Design/methodology/approach – Through the use of a self-organizing map, academic library data were clustered and visualized. Analysis of the library data was conducted through the computation of a “library performance metric” that was...

over the last decade or so, artificial neural networks (anns) have become one of the most promising tools formodelling hydrological processes such as rainfall runoff processes. however, the employment of a single model doesnot seem to be an appropriate approach for modelling such a complex, nonlinear, and discontinuous process thatvaries in space and time. for this reason, this study aims at de...