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Advances in Music Information Retrieval

ISBN-13: 9783642262715 / Angielski / Miękka / 2012 / 420 str.

Zbigniew W. Ras; Alicja Wieczorkowska
Advances in Music Information Retrieval Zbigniew W. Ras Alicja Wieczorkowska 9783642262715 Springer - książkaWidoczna okładka, to zdjęcie poglądowe, a rzeczywista szata graficzna może różnić się od prezentowanej.

Advances in Music Information Retrieval

ISBN-13: 9783642262715 / Angielski / Miękka / 2012 / 420 str.

Zbigniew W. Ras; Alicja Wieczorkowska
cena 603,81
(netto: 575,06 VAT:  5%)

Najniższa cena z 30 dni: 578,30
Termin realizacji zamówienia:
ok. 22 dni roboczych.

Darmowa dostawa!
inne wydania

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.

Kategorie:
Technologie
Kategorie BISAC:
Music > General
Mathematics > Matematyka stosowana
Computers > Artificial Intelligence - General
Wydawca:
Springer
Seria wydawnicza:
Studies in Computational Intelligence
Język:
Angielski
ISBN-13:
9783642262715
Rok wydania:
2012
Wydanie:
2010
Numer serii:
000318395
Ilość stron:
420
Waga:
0.65 kg
Wymiary:
23.5 x 15.5
Oprawa:
Miękka
Wolumenów:
01
Dodatkowe informacje:
Glosariusz/słownik

From the reviews:

"Ras and Wieczorkowska have compiled a 17-paper book that gives readers a glimpse into some of the current research approaches ... . The 400-page book is structured into four parts. ... The book gathers the contributions of almost 50 authors. ... will provide readers who are interested in music information retrieval with a fair description of the state of the art of this economically important research domain." (P. Jouvelot, ACM Computing Reviews, December, 2010)

"Music is both a science and an art. All of its different dimensions, whether melody, rhythm, timbre, mood, harmony, or counterpoint, are of interest to users of music information retrieval (MIR) systems. ... This book's aim is to popularize the research trends in the area of MIR. ... I strongly recommend this gem of a book for scientific libraries." (Soubhik Chakraborty, ACM Computing Reviews, March, 2011)

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.

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.



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