Making searchable melodies: Human versus machine

Mark Cartwright*, Zafar Rafii, Jinyu Han, Bryan A Pardo

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Systems that find music recordings based on hummed or sung, melodic input are called Query-By-Humming (QBH) systems. Such systems employ search keys that are more similar to a cappella singing than the original recordings. Successful deployed systems use human computation to create these search keys: hand-entered MIDI melodies or recordings of a cappella singing. Tunebot is one such system. In this paper, we compare search results using keys built from two automated melody extraction system to those gathered using two populations of humans: local paid singers and Amazon Turk workers.

Original languageEnglish (US)
Title of host publicationHuman Computation - Papers from the 2011 AAAI Workshop, Technical Report
Pages86-87
Number of pages2
VolumeWS-11-11
StatePublished - Nov 2 2011
Event2011 AAAI Workshop - San Francisco, CA, United States
Duration: Aug 8 2011Aug 8 2011

Other

Other2011 AAAI Workshop
CountryUnited States
CitySan Francisco, CA
Period8/8/118/8/11

ASJC Scopus subject areas

  • Engineering(all)

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