Query by humming: musical information retrieval in an audio database

Query by humming: musical information retrieval in an audio database (1995)

by Asif Ghias , Jonathan Logan , David Chamberlin , Brian C. Smith

Venue:	In ACM Multimedia
Citations:	176 - 0 self

Datum	Value	Source
TITLE	Query by humming: musical information retrieval in an audio database	INFERENCE
AUTHOR NAME	Asif Ghias	SVM HeaderParse 0.2
AUTHOR AFFIL	Cornell University	SVM HeaderParse 0.2
AUTHOR NAME	Jonathan Logan	SVM HeaderParse 0.2
AUTHOR AFFIL	Cornell University	SVM HeaderParse 0.2
AUTHOR NAME	David Chamberlin	SVM HeaderParse 0.2
AUTHOR AFFIL	Cornell University	SVM HeaderParse 0.2
AUTHOR NAME	Brian C. Smith	SVM HeaderParse 0.2
AUTHOR AFFIL	Cornell University	SVM HeaderParse 0.2
ABSTRACT	The emergence of audio and video data types in databases will require new information retrieval methods adapted to the specific characteristics and needs of these data types. An effective and natural way of querying a musical audio database is by humming the tune of a song. In this paper, a system for querying an audio database by humming is described along with a scheme for representing the melodic information in a song as relative pitch changes. Relevant difficulties involved with tracking pitch are enumerated, along with the approach we followed, and the performance results of system indicating its effectiveness are presented.	SVM HeaderParse 0.2
YEAR	1995	INFERENCE
VENUE	In ACM Multimedia	INFERENCE
VENUE TYPE	CONFERENCE	INFERENCE
PAGES	231--236	INFERENCE
CITATIONS	14 found	ParsCit 1.0