Modification of Page Rank Algorithm for Music Information Retrieval Systems

2015 ◽  
pp. 227-237
Author(s):  
Zygmunt Mazur ◽  
Konrad Wiklak
Keyword(s):  
Information Retrieval ◽  
Music Information Retrieval ◽  
Page Rank ◽  
Retrieval Systems ◽  
Information Retrieval Systems ◽  
Music Information

scholarly journals Cognition-based Segmentation for Music Information Retrieval Systems

2009 ◽  
Vol 38 (2) ◽  
pp. 139-154 ◽  
Author(s):  
Frans Wiering ◽  
Justin de Nooijer ◽  
Anja Volk ◽  
Hermi J.M. Tabachneck-Schijf
Keyword(s):  
Information Retrieval ◽  
Music Information Retrieval ◽  
Retrieval Systems ◽  
Information Retrieval Systems ◽  
Music Information

Infometrics and Music Information Retrieval

2013 ◽  
Author(s):  
J. Stephen Downie
Keyword(s):  
Information Retrieval ◽  
Music Information Retrieval ◽  
Vital Role ◽  
Text Understanding ◽  
Retrieval Systems ◽  
Information Retrieval Systems ◽  
The Creation ◽  
Music Information

The use of informetric analyses has had profound effects on the development of powerful information retrieval systems. The informetric properties of melodies represented as simple collections of intervallic n=grams exhibit some remarkable similarities to the well-known informetric properties of text. Understanding these similarities can play a vital role in the creation of a successful. . .

MARSYAS-0.2

2011 ◽  
pp. 31-49 ◽  
Author(s):  
George Tzanetakis
Keyword(s):  
Feature Extraction ◽  
Information Retrieval ◽  
Music Information Retrieval ◽  
Information Retrieval System ◽  
Audio Processing ◽  
Retrieval Systems ◽  
Information Retrieval Systems ◽  
Music Information ◽  
Processing Framework ◽  
Design Challenges

Marsyas, is an open source audio processing framework with specific emphasis on building Music Information Retrieval systems. It has been been under development since 1998 and has been used for a variety of projects in both academia and industry. In this chapter, the software architecture of Marsyas will be described. The goal is to highlight design challenges and solutions that are relevant to any MIR software. Keywords: Information Processing, Music, Information Retrieval, System Design, Evaluation, Fast Fourier Transfer (FFT), Feature Extraction, MFCC

Melodic Query Input for Music Information Retrieval Systems

2011 ◽  
pp. 50-78
Author(s):  
Richard L. Kline
Keyword(s):  
Information Retrieval ◽  
Musical Training ◽  
Music Information Retrieval ◽  
Extensive Discussion ◽  
Input Method ◽  
Retrieval Systems ◽  
Information Retrieval Systems ◽  
Music Collection ◽  
Key Issues ◽  
Music Information

This chapter discusses key issues of building and using a system designed to search and query a music collection through the input of the actual or perceived melody of a song. It presents a detailed survey and discussion of studies, algorithms, and systems created to approach this problem, including new contributions by the author. Emphasis is placed on examining the abilities and likely errors of those with little or no formal musical training to remember and reproduce melodic phrases, as these must be taken into account for any music information retrieval system intended for use by the general public. The chapter includes an extensive discussion on human humming as an intuitive input method for the musically untrained person and an examination of several music information retrieval systems designed for this type of input query.

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