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

Multimedia Tools and Applications (Impact Factor: 1.01). 01/2006; 30:331-349. DOI: 10.1007/s11042-006-0030-6
Source: DBLP

ABSTRACT 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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    ABSTRACT: Audio stories are an engaging form of communication that combine speech and music into compelling narratives. Ex-isting audio editing tools force story producers to manipu-late speech and music tracks via tedious, low-level waveform editing. In contrast, we present a set of tools that analyze the audio content of the speech and music and thereby allow pro-ducers to work at much higher level. Our tools address several challenges in creating audio stories, including (1) navigating and editing speech, (2) selecting appropriate music for the score, and (3) editing the music to complement the speech. Key features include a transcript-based speech editing tool that automatically propagates edits in the transcript text to the corresponding speech track; a music browser that supports searching based on emotion, tempo, key, or timbral similar-ity to other songs; and music retargeting tools that make it easy to combine sections of music with the speech. We have used our tools to create audio stories from a variety of raw speech sources, including scripted narratives, interviews and political speeches. Informal feedback from first-time users suggests that our tools are easy to learn and greatly facilitate the process of editing raw footage into a final story.
    26th ACM UIST Symposium, Saint Andrews, UK; 10/2013

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