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A Query by Humming System for Music Information Retrieval

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3 Author(s)
Antonelli, M. ; INFOCOM Dept., Univ. of Rome, Rome, Italy ; Rizzi, A. ; del Vescovo, G.

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.

Published in:

Intelligent Systems Design and Applications (ISDA), 2010 10th International Conference on

Date of Conference:

Nov. 29 2010-Dec. 1 2010