Skip to search form
Skip to main content
Skip to account menu
Semantic Scholar
Semantic Scholar's Logo
Search 226,403,262 papers from all fields of science
Search
Sign In
Create Free Account
Query by humming
Known as:
Query By Humming (QBH)
, Search by singing
Query by humming (QbH) is a music retrieval system that branches off the original classification systems of title, artist, composer, and genre. It…
Expand
Wikipedia
(opens in a new tab)
Create Alert
Alert
Related topics
Related topics
7 relations
ACM-MM
Database
Digital media
Information retrieval
Expand
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2010
2010
A Query by Humming System for Music Information Retrieval
Mario Antonelli
,
A. Rizzi
,
G. D. Vescovo
International Conference on Intelligent Systems…
2010
Corpus ID: 17751565
In this paper we propose a music Query by Humming System made of two main functional blocks; the first implements a voice-to-midi…
Expand
2010
2010
An efficient approach to humming transcription for query-by-humming system
Jin Li
,
Jiqing Han
,
Ziqiang Shi
,
Jing Li
International Congress on Image and Signal…
2010
Corpus ID: 14672342
Query by humming is a straight approach to content-based music retrieval. There are three main challenges: query processing…
Expand
2009
2009
Query by Humming System
A. Tripathy
,
Neha Chhatre
,
Namrata Surendranath
,
Manpreet Kalsi
2009
Corpus ID: 16260500
A Query by Humming system allows the user to find a song by humming part of the tune. No musical training is needed. The idea is…
Expand
2007
2007
A Query by Humming System that Learns from Experience
David Little
,
David Raffensperger
,
Bryan Pardo
International Society for Music Information…
2007
Corpus ID: 16893681
Query-by-Humming (QBH) systems transcribe a sung or hummed query and search for related musical themes in a database, returning…
Expand
2007
2007
Sung Note Segmentation for a Query-by-Humming System
Pradeep Kumar
,
M. Joshi
,
S. Dutta-Roy
,
P. Rao
2007
Corpus ID: 64218981
Retrieval performance in query-by-humming (QBH) systems depends crucially on the accurate note segmentation and labeling of user…
Expand
2006
2006
Query by humming with the VocalSearch system
W. Birmingham
,
R. Dannenberg
,
Bryan Pardo
CACM
2006
Corpus ID: 6277898
Don't know the composer, performer, or title? Let the system match the theme you know to the song you want.
2004
2004
Modelling error in query -by -humming applications
Colin Meek
2004
Corpus ID: 59885280
Query-by-humming (QBH) applications search audio and multimedia databases for strong matches to sung, whistled or hummed musical…
Expand
2003
2003
Query-by-Humming on Internet
N. Kosugi
,
Hidenobu Nagata
,
Tadashi Nakanishi
International Conference on Database and Expert…
2003
Corpus ID: 39512803
We present a query-by-humming system on the Internet. It is fundamentally a content-based music retrieval system based on multi…
Expand
2003
2003
The dangers of parsimony in query-by-humming applications
Colin Meek
,
W. Birmingham
International Society for Music Information…
2003
Corpus ID: 6335549
Query-by-humming systems attempt to address the needs of the non-expert user, for whom the most natural query format -- for the…
Expand
2002
2002
Query by humming: matching humming query to polyphonic audio
Jungmin Song
,
So-Young Bae
,
Kyoungro Yoon
Proceedings. IEEE International Conference on…
2002
Corpus ID: 5121574
Previously a great attention has been paid to content-based multimedia retrieval that enables users to find and locate audio…
Expand
By clicking accept or continuing to use the site, you agree to the terms outlined in our
Privacy Policy
(opens in a new tab)
,
Terms of Service
(opens in a new tab)
, and
Dataset License
(opens in a new tab)
ACCEPT & CONTINUE