Algorithmic Clustering of Music Based on String Compression
نویسندگان
چکیده
Cilibrasi, Vitányi, and de Wolf Computer Music Journal, 28:4, pp. 49–67, Winter 2004 2004 Massachusetts Institute of Technology Rudi Cilibrasi,* Paul Vitányi,*† and Ronald de Wolf* *Centrum voor Wiskunde en Informatica Kruislaan 413 1098 SJ Amsterdam, The Netherlands †Institute for Logic, Language, and Computation University of Amsterdam Plantage Muidergracht 24 1018 TV Amsterdam, The Netherlands {Rudi.Cilibrasi, Paul.Vitanyi, Ronald.de.Wolf}@cwi.nl Algorithmic Clustering of Music Based on String Compression
منابع مشابه
Experimental Evaluation of Algorithmic Effort Estimation Models using Projects Clustering
One of the most important aspects of software project management is the estimation of cost and time required for running information system. Therefore, software managers try to carry estimation based on behavior, properties, and project restrictions. Software cost estimation refers to the process of development requirement prediction of software system. Various kinds of effort estimation patter...
متن کاملA “ Blind ” Approach to Clustering Through Data Compression Bruno Carpentieri
Data compression, data prediction, data classification, learning and data mining are all facets of the same (multidimensional) coin. In particular it is possible to use data compression as a metric for clustering. In this paper we test a clustering method that does not rely on any knowledge or theoretical analysis of the problem domain, but it relies only on general-purpose compression techniqu...
متن کاملEvent-synchronous Music Analysis / Synthesis
This work presents a novel framework for music synthesis, based on the perceptual structure analysis of pre-existing musical signals, for example taken from a personal MP3 database. We raise the important issue of grounding music analysis on perception, and propose a bottom-up approach to music analysis, as well as modeling, and synthesis. A model of segmentation for polyphonic signals is descr...
متن کاملAutomatic Phrase Continuation from Guitar and Bass Guitar Melodies
A framework is proposed for generating interesting, and musically similar variations of a givenmonophonic melody. The focus is on rock/pop guitar and bass-guitar melodies with the aim of eventual extensions to other instruments and musical styles. It is demonstrated here how learning musical style from segmented audio data can be formulated as an unsupervised learning problem to generate a symb...
متن کاملA Clustering Approach by SSPCO Optimization Algorithm Based on Chaotic Initial Population
Assigning a set of objects to groups such that objects in one group or cluster are more similar to each other than the other clusters’ objects is the main task of clustering analysis. SSPCO optimization algorithm is anew optimization algorithm that is inspired by the behavior of a type of bird called see-see partridge. One of the things that smart algorithms are applied to solve is the problem ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- Computer Music Journal
دوره 28 شماره
صفحات -
تاریخ انتشار 2004