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JOURNALS // Informatics and Automation // Archive

Tr. SPIIRAN, 2008 Issue 7, Pages 75–92 (Mi trspy346)

Query-by-humming systems: a survey and an experimental setting

I. A. Baltiyskiya, S.I. Nikolenkob

a Leningrad Department of V. A. Steklov Institute of Mathematics, USSR Academy of Sciences
b Leningrad Department of V. A. Steklov Institute of Mathematics, Russian Academy of Sciences

Abstract: We give a survey of existing query-by-humming information retrieval systems that use feature extraction. The paper contains a complete description of the most popular feature extraction techniques (CENS and MFCC) and offers a design of an experimental system aimed at comparing different feature sets, vocabulary selection, indexing, and search methods.

UDC: 004.89



© Steklov Math. Inst. of RAS, 2024