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. © 2010 IEEE.

A query by humming system for music information retrieval / Mario, Antonelli; Rizzi, Antonello; DEL VESCOVO, Guido. - STAMPA. - (2010), pp. 586-591. ((Intervento presentato al convegno 2010 10th International Conference on Intelligent Systems Design and Applications, ISDA'10 tenutosi a Cairo; Egypt nel 29 November 2010 through 1 December 2010 [10.1109/isda.2010.5687200].

A query by humming system for music information retrieval

RIZZI, Antonello;DEL VESCOVO, Guido
2010

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. © 2010 IEEE.
2010 10th International Conference on Intelligent Systems Design and Applications, ISDA'10
genetic algorithms, music;query processing, search engines, MIDI file, MIR system, dynamic time warping,quesry by humming system, music information retrieval;notes sequence, search engine;voice-to-midi transcription algorithm
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
A query by humming system for music information retrieval / Mario, Antonelli; Rizzi, Antonello; DEL VESCOVO, Guido. - STAMPA. - (2010), pp. 586-591. ((Intervento presentato al convegno 2010 10th International Conference on Intelligent Systems Design and Applications, ISDA'10 tenutosi a Cairo; Egypt nel 29 November 2010 through 1 December 2010 [10.1109/isda.2010.5687200].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/379842
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