Melodic Query Input for Music Information Retrieval Systems

Author(s):  
Richard L. Kline

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.

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

Author(s):  
J. Stephen Downie

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. . .


Author(s):  
George Tzanetakis

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


Sign in / Sign up

Export Citation Format

Share Document