1,721,086 research outputs found

    Structuring music information

    No full text
    This chapter describes how IEEE 1599, in addition to dealing with all entities of Common Western Notation such as notes, rests, and music symbols, can also consider complete structures, music excerpts, segments, and the like, thus becoming a useful tool for musical analysis

    The IEEE 1599 standard

    No full text
    This chapter gives a brief and simplified technical overview useful in the understanding of all IEEE 1599 applications, in particular from I to VII, which exist and are complete, and VIII and IX, which have been studied but not yet fully realized

    Informatica musicale : dagli albori al prossimo futuro

    No full text
    L’applicazione di metodi e tecnologie dell’informatica in campo musicale ha progressivamente interessato tutti gli aspetti della fruizione, della performance, della produzione, dell’educazione e del supporto alle attività creative. L’attenzione delle ricerche, degli strumenti e dei media più avanzati è oggi posta sull’interazione e sulla personalizzazione delle modalità di accesso e trattamento dell’informazione musicale nelle sue varie tipologie (spartiti, audio, video, testi), soprattutto se tra loro integrate e correlate

    Cultural Heritage and ICT: State of the Art and Perspectives

    No full text
    This paper tries to outline the evolution of the role of ICT with respect to Cultural Heritage showing how, starting from the first digitization projects, ICT has gradually become the major driving force for both preserving and exploiting Cultural Heritage. Specifically, the key role of advances in automatic recognition within texts and multimedia information are considered. Essential Website References Cultural Heritage Search Engine Dublin Core Metadata Initiative (DCMI) Federal Agencies Digitization Guidelines Initiative (FADGI) IEEE1599 International Federation of Library Associations and Institutions (IFLA) Journal on Computing and Cultural Heritage (JOCCH), ACM, New York Journal of Cultural Heritage, Elsevier, Amsterdam, NL Library of Congress, Washington, USA MPEG official site UNESCO - Intangible Cultural Heritage UNIMARC World Wide Web Consortium (W3C) - Web Accessibility Initiative (WAI) Videos Click on the thumbnails below to open videos on YouTube. An Advanced Technology for Music Contents Digital Archives for Music Cultural Heritage Digitizing Audio, Scores, and Iconographic Material

    Automatic playlist generation based on tracking user's listening habits

    No full text
    Algorithms for automatic playlist generation solve the problem of tedious and time consuming manual selection of musical playlists. These algorithms generate playlists according to the user’s music preferences of the moment. The user describes his preferences either by manually inputting a couple of example songs, or by defining constraints for the choice of music. The approaches to automatic playlist generation up to now were based on examining the metadata attached to the music pieces. Some of them took also the listening history into account. But anyway, a heavy accent has been put on the metadata, while the listening history, if it was used at all, had a minor role. Missings and errors in metadata frequently appear, especially when the music is acquired from the Internet. When the metadata is missing or wrong, the approaches proposed so far cannot work. Besides, entering constraints for the playlist generation can be a difficult activity. In our approach we ignored the metadata and focused on examining the listening habits. We developed two simple algorithms that track the listening habits and form a listener model—a profile of listening habits. The listener model is then used for automatic playlist generation. We developed a simple media player which tracks the listening habits and generates playlists according to the listener model. We tried the solution with a group of users. The experiment was not a successful one, but it threw some new light on the relationship between the listening habits and playlist generation

    IEEE 1599: Music Encoding and Interaction

    No full text
    IEEE Std 1599 allows interaction with music content such as notes and sounds in video applications and in any interactive device

    A novel XML Music Information Retrieval Method using Graph Invariants

    No full text
    The increasing diffusion of XML languages for the encoding of domain-specific multimedia information raises the need for new information retrieval models that can fully exploit structural information. An XML language specifically designed for music like MX allows queries to be made directly on the thematic material. The main advantage of such a system is that it can handle symbolic, notational, and audio objects at the same time through a multilayered structure. On the model side, common music information retrieval methods do not take into account the inner structure of melodic themes and the metric relationships between notes. In this article we deal with two main topics: a novel architecture based on a new XML language for music and a new model of melodic themes based on graph theory. This model takes advantage of particular graph invariants that can be linked to melodic themes as metadata in order to characterize all their possible modifications through specific transformations and that can be exploited in filtering algorithms. We provide a similarity function and show through an evaluation stage how it improves existing methods, particularly in the case of same-structured themes

    Audio Fingerprint and its Applications to Peer-to-Peer Systems

    No full text
    In this work we want to analyze the applicability of audio-fingerprint technology to peer-to-peer systems. Audio-fingerprint is a technology commonly applied to scopes like audio identification or digital rights management. Peer-to-peer is a common Internet paradigm to share various digitalized contents. In this paper we propose an improvement for typical peer-to-peer architectures (query flooding, centralized directory, hybrid architecture) which permits the application of audio fingerprint technology to these systems

    Feature extraction and synchronization among layers

    No full text
    Summary. This chapter describes in detail how musical events – e.g., note, note symbols, audio and video renditions and the like – can be referenced in an unique way, thus allowing synchronization among different piece versions, representations, multimedia rendition in a way that, as the examples of Chapter 1 demonstrate, is unique to IEEE 1599
    corecore