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Hybrid Pre-Ranked Heuristically Preferential Quality Metric for Actualization of Musical Sensors and Tonal Perception
Abhijit Chitre, , Suresh Gosavi, Aditya Abhyankar
Published in American Scientific Publishers
Volume: 16.0
Issue: 10.0
Pages: 782.0 - 797.0
In this paper we propose an approach of deciding a quality parameter for evaluation of relative quality of the sound produced by the synthesizer with reference to the sound of the original Indian classical instrument. Tonal quality of a musical note is a subjective aspect. The work presented in the paper aims at providing quantification that will assess the quality of the musical note of the instrument produced on synthesizer and the equivalent note produced on the real instrument. In this paper we nomenclate this quality parameter as HPHPQM (Hybrid Pre-ranked Heuristically Preferential Quality Metric). The paper also presents the Interrater statistics carried out to confirm the effectiveness of the proposed parameter. Sitar and flute are the instruments considered for the experimentation. In a nutshell to the best of authors' knowledge no work has been reported towards incorporating the quality parameter to judge the qualitative closeness of instrument sound on synthesizer and real instrument sound. This paper proposes solution for the same.
About the journal
JournalData powered by TypesetSensor Letters
PublisherData powered by TypesetAmerican Scientific Publishers
Open Access0