5 edition of Melodic Similarity found in the catalog.
November 20, 1998
by The MIT Press
Written in English
|Contributions||Walter B. Hewlett (Editor), Eleanor Selfridge-Field (Editor)|
|The Physical Object|
|Number of Pages||244|
MelodyShape is an open source Java library and tool to compute the melodic similarity between monophonic music pieces. It implements several algorithms that compute similarity based on the geometric shape that melodies describe in the pitch-time plane. Melodic-Similarity--Concepts,-Procedures- Adobe Acrobat Reader DCDownload Adobe Acrobat Reader DC Ebook PDF:Work on documents anywhere using the Acrobat Reader mobile app Its packed with all the tools you need to convert edit and sign PDFs You can use your device camera to capture a document whiteboard or receipt and save it as a PDF.
tures, such as melodic prole and harmonic progressions, which are not easily extracted from audio les. In partic-ular, the melodic prole has been often used as the main dimension to compute the similarity between music doc-uments [1,7]. A typical task of melody-based retrieval is the automatic identication of a melody sung or hummed bytheuser. Generalized N-gram measures for melodic similarity 3 Deﬁnition 3 (Melody). Let E be an event space. A ﬁnite, discrete map µ: [0: N−1] → R×E n 7→(t n,p n), is called melody if t n Cited by: 4.
importance of the melodic line for the construction of a good melody. Examples include Ernst Toch, who, in his Melodienlehre (), defines a melody as consisting of a line of pitches (“Tonhöhenlinie”) and a rhythm, and Knud Jeppesen (), who mentions in his counterpoint text book the importance of a good balance between melodic skips andFile Size: KB. to rhythmic and melodic similarity is made to n d the fea-tures that characterise similarity of Dutch folk songs. A rhythmic similarity measure of folk songs is presented in . Another similarity measure that uses pitch stability among a group of aligned folk songs is described in . Which songs are similar, or how much they are alike, is.
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Melodic Similarity: Concepts, Procedures, and Applications [Walter B. Hewlett, Eleanor Selfridge-Field] on *FREE* shipping on qualifying offers. This volume covers a wide range of approaches to fundamental questions about music, such as: What is similarity in music.
How do we recognize it. How can we program computers to recognize it?4/5(1). The algorithmic complexity is logarithmic, and therefore the method scales well. The more data added to the searchable database, the smaller the increase in Melodic Similarity book time.
This method produced the best results for the MIREX “Symbolic Melodic Similarity” retrieval competition. This volume covers a Melodic Similarity book range of approaches to fundamental questions about music, such as: What is similarity in music. How do we recognize it.
How can we program computers to recognize it. Topics include concepts and procedures, tools and applications, human melodic judgments, and online tools for melodic searching.
Review of Water Hewlitt & Eleanor Selfridge-Field's (Ed) "Melodic Similarity: Concepts, Procedures, and Applications" (Computing and Musicology 11). Music Perception, 17, Discover the Author: William Forde Thompson.
Genre/Form: Aufsatzsammlung: Additional Physical Format: Online version: Melodic similarity. Cambridge, Mass ; London: MIT Press, (OCoLC) ABSTRACT Computing melodic similarity is a very general problem with diverse musical applications ranging from music anal - ysis to content - based retrieval Choosing the appropriate level of.
Conceptual and representational issues in melodic comparison / Eleanor Selfridge-Field --A geometrical algorithm for melodic difference / Donncha Ó Maidín --String-matching techniques for musical similarity and melodic recognition / Tim Crawford, Costas S. Iliopoulos, and Rajeev Raman --Sequence-based melodic comparison: a dynamic-programming.
Melodic Similarity: Concepts, Procedures, and Applications, edited by Walter Hewlett and Eleanor Selfridge-Field, provides an overview of critical issues related to computing in musicology, focusing on investigations of melodic similar- ity.
The book is a special issue. Music Retrieval based on Melodic Similarity. PhD thesis, Universiteit Utrecht, February [ULMSC12] Julia´n Urbano, Juan Llor´ens, Jorge Morato, and Sonia S´anchez- Cuadrado. MIREX Symbolic Melodic Similarity: Hybrid Sequence Alignment with Geometric Representations.
Reviewing the literature on similarity measurement for melodies of the last two decades the biggest concern was actually not the lack of measurement procedures for melodic similarity but rather their abundance.
Several very different techniques have been proposed for defining and computing melodic similarity. They all. The perception of similarity in court cases of melodic plagiarism and a review of measures of melodic similarity. In: J Wewers and U Seifert, eds. Under Construction: Trans- and Interdisciplinary Routes in Music Research.
Proceedings of SysMus11, Cologne Osnabrück Music, pp. ISBN [Book Section]. We present a new geometric model to compute the melodic similarity of symbolic musical pieces.
Melodies are represented as splines in the pitch-time plane, and their similarity is computed as the similarity of their shape. The model is very intuitive and it is transposition and time scale by: Singing from the same sheet: computational melodic similarity measurement and copyright law Robert J.S.
Casona,b∗ and Daniel Mu¨llensiefenb aSchool of Law, Birkbeck College, University of London, London WC1, UK; bDepartment of Psychology, Goldsmiths, University of. to the cognition of melodic similarity), the consideration of psychological and cognitive aspects will be of paramount importance.
The four approaches to melodic similarity It is a rather difficult task to classify existing approaches to the issue of melodic similarity in a systematic fashion.
Abstract. Symbolic melodic similarity aims to evaluate the degree of likeness of two or more sequences of notes. In this work, we propose the use of fuzzy c-means clustering as a tool for the measurement of the similarity between two melodies with a different number of by: 2. Buy Melodic Similarity: Concepts, Procedures and Applications (Computing in Musicology S.) by Hewlett, Walter (ISBN: ) from Amazon's Book Store.
Everyday low prices and free delivery on eligible orders.4/5(1). TuneGraph, an online visual tool for exploring melodic similarity Abstract This paper presents TuneGraph, an online visual tool for exploring melodic similarity.
The underlying data comes from a large index of online music, all transcribed in abc notation, and TuneGraph uses a melodic similarity metric to derive a. Melodic similarity among folk songs: An annotation study on similarity-based categorization in music Anja Volk (corresponding author) Utrecht University Department of Information and Computing Sciences Postal address: PO BoxTB Utrecht, The Netherlands TEL +31(30) EMAIL @ Peter van Kranenburg Meertens InstituteCited by: This far-ranging book shows how human memory influences the organization of music.
The book is divided into two parts. The first part presents basic ideas about memory and perception from cognitive psychology and, to some extent, cognitive linguistics. Topics include auditory processing, perception, and recognition. The second part describes in detail how the concepts from the first part are 4/5(1).
In sum, the techniques for melodic data transformation and pattern matching / similarity measurement employed in this study resume the major approaches in this field of the last 15 years. Additionally, systemizing these approaches led to the construction of several new similarity measures (see Frieler () and Müllensiefen () for.
Melodic Similarity: Concepts, Procedures, and Applications. Computing in Musicology, no. Edited by Walter B. Hewlett and Eleanor Selfridge-Field. Stanford, Calif.: Center for (to whom the book is dedicated, and who is the general editor of the series in which this book is published) and of Meyer's influential student Eugene Narmour.Melodic contour, or the pattern of rises and falls in pitch, is a critical component of melodic structure, and has an important impact on listeners' perceptions of, and memory for, music.
Despite its centrality, few formal models of contour structure exist. One recent exception involves characterizing contour by the relative degrees of strength of its cyclic information, quantified via a.The notion of musical similarity is particularly complex because there are numerous dimensions of similarity.
If similarity takes place between different fragments from one musical piece, a musical similarity implies a repetition of the first occurring fragment. As well, eventually, the similarity does not occur by direct repetition, but by presenting in two (or more) set of relations, some.