NDLI: A Query by Humming System for Music Information Retrieval

Content Provider	IEEE Xplore Digital Library
Author	Antonelli, M. Rizzi, A. del Vescovo, G.
Copyright Year	2010
Description	Author affiliation: University of Rome ”La Sapienza”, INFOCOM Department, via Eudossiana, 18, 00184, Rome, Italy (Antonelli, M.; Rizzi, A.; del Vescovo, G.)
Abstract	In this paper we propose a music Query by Humming System made of two main functional blocks; the first implements a voice-to-midi transcription algorithm to process the query, the second implements a search engine based on a novel template matching technique for Dynamic Time Warping. The voice-to-midi algorithm transforms the sung or hummed query in a MIDI file by segmenting and identifying the notes' sequence. The search engine uses a Template Matching technique to produce a list of possible melodies that best match the searched one. In the test phase, first, we investigated performance of the search engine in retrieval using a synthetic test bench; a set of artificial queries is build placing and adjusting, in the queries, patterns of typical disturbance. Second, we use a genetic algorithm to automatically optimize the performance of the overall system using a real-life test bench. Results highlight that the proposed MIR system has good performances and is robust enough to be employed in real life applications.
Starting Page	586
Ending Page	591
File Size	332952
Page Count	6
File Format	PDF
ISBN	9781424481347
e-ISBN	9781424481361
DOI	10.1109/ISDA.2010.5687200
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-11-29
Publisher Place	Egypt
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Correlation Databases Heuristic algorithms Noise Search engines Intelligent systems Optimization
Content Type	Text
Resource Type	Article

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