This paper presents a novel method for measuring the structural similarity between music
recordings. It uses recurrence plot analysis to characterize patterns of repetition in the …

Traditionally, the development and validation of computational measures of rhythmic
similarity in music relies on proxy classification tasks, often equating rhythm similarity to …

Most of the previous approaches to lyrics-to-audio alignment used a pre-developed
automatic speech recognition (ASR) system that innately suffered from several difficulties to …

We propose a new retrieval system based on musical structure using symbolic structural
queries. The aim is to compare musical form in audio files without extracting explicitly the …

This chapter presents several computational approaches aimed at supporting knowledge
discovery in music. Our work combines data mining, signal processing and data …

The choice of the distance measure between time-series representations can be decisive to
achieve good classification results in many content-based information retrieval applications …

Analyzing the form or structure of pieces of music is a fundamental task for music theorists.
Several algorithms have been developed to automatically produce formal analyses of music …

This paper surveys Audio Information Retrieval (AIR) using a literature review and
classification of articles from 1994 to 2010 with a keyword index and article abstract in order …

Um dos grandes desafios em mineração de dados é a integração de dados temporais ao
seu processo. Existe um grande número de aplicações emergentes que envolvem dados …

We present aligned hierarchies, a novel solution to the dimension reduction problem,
representing high-dimensional and noisy sequential data as a low-dimensional object that …