Automatically extracting semantic content from audio streams can be helpful in many multimedia applications. Motivated by the known limitations of traditional supervised approache...
—In this paper, we propose a technique to reduce the number of trellis states in BCJR-type algorithms, i.e., algorithms with a structure similar to that of the well-known algorit...
Giulio Colavolpe, Gian Luigi Ferrari, Riccardo Rah...
In this paper we present a new algorithm for automatic summarization of specialized texts combining terminological and semantic resources: a term extractor and an ontology. The te...
Jorge Vivaldi, Iria da Cunha, Juan Manuel Torres M...
Various text mining algorithms require the process of feature selection. High-level semantically rich features, such as figurative language uses, speech errors etc., are very prom...
We propose a new method to group partials produced by each instrument of a polyphonic audio mixture. This method works for pitched and harmonic instruments and is specially adapte...