rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Advances in Music Information Retrieval
  name:
    name part: Raś, Zbigniew W.
    role:
      role term: editor.
  name:
    name part: Wieczorkowska, Alicja A.
    role:
      role term: editor.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2010
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: 420 p. 108 illus. online resource.
  abstract: Sound waves propagate through various media, and allow communication or entertainment for us, humans. Music we hear or create can be perceived in such aspects as rhythm, melody, harmony, timbre, or mood. All these elements of music can be of interest for users of music information retrieval systems. Since vast music repositories are available for everyone in everyday use (both in private collections, and in the Internet), it is desirable and becomes necessary to browse music collections by contents. Therefore, music information retrieval can be potentially of interest for every user of computers and the Internet. There is a lot of research performed in music information retrieval domain, and the outcomes, as well as trends in this research, are certainly worth popularizing. This idea motivated us to prepare the book on Advances in Music Information Retrieval. It is divided into four sections: MIR Methods and Platforms, Harmony, Music Similarity, and Content Based Identification and Retrieval. Glossary of basic terms is given at the end of the book, to familiarize readers with vocabulary referring to music information retrieval.
  table of contents: Music Information Retrieval: Indexing, Representations, and Platforms -- Indexing Techniques for Non-metric Music Dissimilarity Measures -- Clustering Driven Cascade Classifiers for Multi-indexing of Polyphonic Music by Instruments -- Representations of Music in Ranking Rhythmic Hypotheses -- Mid-level Representations of Musical Audio Signals for Music Information Retrieval -- The Music Information Retrieval Evaluation eXchange: Some Observations and Insights -- Harmony -- Chord Analysis Using Ensemble Constraints -- BREVE: An HMPerceptron-Based Chord Recognition System -- Analysis of Chord Progression Data -- Content-Based Identification and Retrieval of Musical Information -- Statistical Music Modeling Aimed at Identification and Alignment -- Harmonic and Percussive Sound Separation and Its Application to MIR-Related Tasks -- Violin Sound Quality: Expert Judgements and Objective Measurements -- Emotion Based MIDI Files Retrieval System -- On Search for Emotion in Hindusthani Vocal Music -- Music Similarity -- Audio Cover Song Identification and Similarity: Background, Approaches, Evaluation, and Beyond -- Multimodal Aspects of Music Retrieval: Audio, Song Lyrics – and Beyond? -- Melodic Grouping in Music Information Retrieval: New Methods and Applications -- Automatic Musical Genre Classification and Artificial Immune Recognition System.
  note: edited by Zbigniew W. Raś, Alicja A. Wieczorkowska.
  subject:
    topic: Engineering
  subject:
    topic: Music
  subject:
    topic: Artificial intelligence
  subject:
    topic: Applied mathematics
  subject:
    topic: Engineering mathematics
  subject:
    topic: Engineering
  subject:
    topic: Appl.Mathematics/Computational Methods of Engineering
  subject:
    topic: Artificial Intelligence (incl. Robotics)
  subject:
    topic: Signal, Image and Speech Processing
  subject:
    topic: Music
  classification: TA329-348
  classification: TA640-643
  classification: 519
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Studies in Computational Intelligence, 274
  identifier: 9783642116742
  identifier: http://dx.doi.org/10.1007/978-3-642-11674-2
  record info:
    record creation date: 100310
    record change date: 20151204171439.0
    record identifier: 978-3-642-11674-2