Abstract

Robustly addressing uncertainty in query formulation and search is one of the most challenging problems in multimedia information retrieval (MIR) systems. In this paper, a statistical approach to the problem of retrieval under the effect of uncertainty in Query by Humming (QBH) systems is presented. Direct transcription of audio to pitch and duration symbols is performed. From the transcribed data vector, finger prints that carry a fixed length of information from characteristic local points of the hummed melody are extracted. Instead of employing the humming input as a whole, extracted characteristic information packages are used for search through the database. The distance for each finger print to the original melodies in the database is calculated and converted to probabilistic similarity measures. Melodies with the highest similarity measures are returned to the user as the most likely query result. This algorithm is …

Date

October 15, 2004

Authors

Erdem Unal, Shrikanth S Narayanan, Elaine Chew

Book

Proceedings of the 6th ACM SIGMM international workshop on Multimedia information retrieval

Pages

113-118