The Cuidado music browser: an end-to-end electronic music distribution system.

Multimedia Tools and Applications (Impact Factor: 1.35). 09/2006; 30(3):331-349. DOI: 10.1007/s11042-006-0030-6
Source: DBLP


The IST project Cuidado, which started in January 2001, aims at producing the first entirely automatic chain for extracting and exploiting musical metadata for browsing music. The Sony CSL laboratory is primarily interested in the context of popular music browsing in large-scale catalogues. First, we are interested in human-centred issues related to browsing "Popular Music". Popular here means that the music accessed to is widely distributed, and known to many listeners. Second, we consider "popular browsing" of music, i.e. making music accessible to non specialists (music lovers), and allowing sharing of musical tastes and information within communities, departing from the usual, single user view of digital libraries. This research project covers all areas of the music-to-listener chain, from music description - descriptor extraction from the music signal, or data mining techniques -, similarity based access and novel music retrieval methods such as automatic sequence generation, and user interface issues. This paper describes the scientific and technical issues at stake, and the results obtained, in the current state of the IST project.

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Available from: Francois Pachet, Oct 07, 2015
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    • "But the main of these approaches are based on timbre similarity , mainly evaluated with statistics on low-level audio features . For example, Music Browser (Sony CSL, Paris) computes a similarity measure according to Gaussian models of cepstrum coefficients [13]. However, since this information about timbre is not relevant for the copyright protection of music documents, SACEM considers musical elements such as melody, harmony or rhythm. "
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    ABSTRACT: ABSTRACT The number,of copyright registrations for music documents is increasing each year. Computer-based systems may,help to detect near-duplicate music documents,and plagiarisms. The main part of the existing systems for the comparison of symbolic music are based on string matching algorithms and represent music as sequences of notes. Nevertheless, adaptation to the musical context raises specific problems and a direct adaptation does not lead to an accurate de- tection algorithm: indeed, very different sequences can rep- resent very similar musical pieces. We are developing an improved system which mainly considers melody but takes also into account elements of music theory in order to de- tect musically important differences between sequences. In this paper, we present the improvements proposed by our system in the context of the near-duplicate music document detection. Several experiments with famous music copyright infringement cases are proposed. In both monophonic,and polyphonic context, the system allows the detection of pla- giarisms.
    Proceedings of the SIGIR 2007 International Workshop on Plagiarism Analysis, Authorship Identification, and Near-Duplicate Detection, PAN 2007, Amsterdam, Netherlands, July 27, 2007; 07/2007
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    • "decided to use simple two-level genre taxonomy of 20 genres and 250 subgenres in the context of the Cuidado music browser [3]. "
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    ABSTRACT: This paper reviews the state-of-the-art in automatic genre classification of music collections through three main paradigms: expert systems, unsupervised classification, and supervised classification. The paper discusses the importance of music genres with their definitions and hierarchies. It also presents techniques to extract meaningful information from audio data to characterize musical excerpts. The paper also presents the results of new emerging research fields and techniques that investigate the proximity of music genres
    IEEE Signal Processing Magazine 04/2006; 23(2-23):133 - 141. DOI:10.1109/MSP.2006.1598089 · 5.85 Impact Factor
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    • "Typical objects found in a variable's domain encapsulate multimedia items in a database, which can query the database to access their metadata values. In [11], we have described a Java framework, MCM, which offers such functionalities, notably a sophisticated query language where metadata can be described by a path from the object (i.e. an audio sample ), e.g. "
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    ABSTRACT: This paper proposes to use the techniques of Concate-native Sound Synthesis in the context of real-time Music Interaction. We describe a system that generates an au-dio track by concatenating audio segments extracted from pre-existing musical files. The track can be controlled in real-time by specifying high-level properties (or con-straints) holding on metadata about the audio segments. A constraint-satisfaction mechanism, based on local search, selects audio segments that best match those constraints at any time. We describe the real-time aspects of the system, notably the asynchronous adding/removing of constraints, and report on several constraints and controllers designed for the system. We illustrate the system with several appli-cation examples, notably a virtual drummer able to interact with a human musician in real-time.
    Journal of New Music Research 03/2006; 35(1). DOI:10.1080/09298210600696790 · 0.57 Impact Factor
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