Advances in music information retrieval

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....

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Gorde:
Xehetasun bibliografikoak
Egile nagusia: Ras, Zbigniew W., 1947-
Beste egile batzuk: Wieczorkowska, Alicja A., 19..- (Argitalpenaren zuzendaria)
Formatua: Livre numérique
Hizkuntza:Anglais
Argitaratua: Berlin, Heidelberg : Springer Berlin Heidelberg [20..].
Cham : Springer Nature
Edizioa:1st ed. 2010.
Saila:Studies in Computational Intelligence 274
Sarrera elektronikoa:Accès sur la plateforme de l'éditeur
Accès sur la plateforme Istex
Accès Université d'Orléans
Accès INSA CVL
Oharra: Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Advances in Music Information Retrieval, Texte imprimé, 9783642117787
• Advances in Music Information Retrieval, Texte imprimé, 9783642116735
• Advances in Music Information Retrieval, Texte imprimé, 9783642262715
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100 1 |a Ras, Zbigniew W.,  |d 1947- 
245 1 0 |a Advances in music information retrieval   |c edited by Zbigniew W. Raś, Alicja A. Wieczorkowska. 
250 |a 1st ed. 2010. 
260 |a Berlin, Heidelberg :  |b Springer Berlin Heidelberg. 
260 |a Cham :  |b Springer Nature,  |c [20..]. 
490 0 |a Studies in Computational Intelligence  |v 274  |x 1860-9503 
500 |a Archives Springer e-books (Licence nationale) 
500 |a Archives Springer e-books (Licence nationale) 
505 1 |a 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. 
506 |a Accès en ligne pour les établissements français bénéficiaires des licences nationales 
506 |a Accès soumis à abonnement pour tout autre établissement 
506 |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 
520 |a 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. 
700 1 |a Wieczorkowska, Alicja A.,  |d 19..-  |4 pbd 
776 0 |t Advances in Music Information Retrieval  |b Texte imprimé  |z 9783642117787 
776 0 |t Advances in Music Information Retrieval  |b Texte imprimé  |z 9783642116735 
776 0 |t Advances in Music Information Retrieval  |b Texte imprimé  |z 9783642262715 
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