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ISMIR 2002
3rd International Conference on
Music Information Retrieval

IRCAM – Centre Pompidou
Paris, France
October 13-17, 2002

Printed versions of the tutorial handouts, as well as of the proceedings can be ordered here.


Three optional 3-hour long tutorials on state-of-the-art aspects of music information retrieval will be offered on the afternoon of Sunday October 13.

Tutorial I: Digital Music Representations, by Geoffroy Peeters and Gérard Assayag

This tutorial will present state of the art representation schemes (formats, protocols, algorithms, environments) used in computer storage, search, transfer and production of music  in the broad sense of the word. Established and proposed standards for file formats, database metadata, protocols, markup languages will be presented and discussed as well as emerging ideas on dynamic representation schemes in relation with interactivity. Representations will be discussed according to their relative efficiency/expressivity and their adaptation to different kind of applications. [See full description: Word, PDF]

Tutorial II: Music Information Retrieval for Audio Signals, by George Tzanetakis

The main objective of this tutorial is to provide an overview of the current status of music information retrieval (MIR) for audio signals. The intended audience are people with a technical background who are interested to learn the main approaches and current status of MIR for audio signals. An important part of the intended audience would consist of researchers who have a background in symbolic MIR and/or musicology and music cognition and are interested to learn more about the similarities/differences of audio MIR to their respective fields. Demonstrations of several of the described algorithms and techniques will be part of the tutorial presentation. [See full description: Word, PDF]

Tutorial III: Modern Methods for Statistical Audio Signal Processing and Characterization, by Shlomo Dubnov

Musical signals contain many types of information, such as information about the sound color or texture, information about the type of the playing instrument(s), the notes being played, musical patterns and repetition structure, the style or mood of the musical piece and many more. In order to characterize, process or retrieve these different types of knowledge, many specific descriptors are proposed for each task and problem. In this workshop we will attempt to provide a unifying view of these problems in the context statistical data analysis and modeling. Our approach links the questions of signal modeling/representation to the question of information contents of the signal, extending it beyond linear models to non-Gaussian and non-linear signals and systems.

After a review of basic spectral estimation and signal modeling methods, we shall consider the role of information theory in problems of signal characterization, compression and classification. Geometric signal modeling is described by means of a low rank signal modeling approach. Higher Order Statistical (HOS) analysis is presented for problems of non-Gaussian and non-Linear signal analysis and is related to improved estimation of the information / entropy of such signals. Independent Component Analysis (ICA) is considered in the context of modeling natural sounds and provides an improved (non-orthogonal linear) basis for signal representation. Signal and spectrogram decomposition into ICA basis and ICA coefficients are described. Recurrence analysis is presented for detection of repeating patterns in musical signals. Phase coupling effects are described in the context of analysis of harmonic signal analysis and characterization of musical instruments.. [See full description: Word, PDF]


The ISMIR 2002 Web pages will be regularly updated
to include program content and schedule