Scale Identification of an Audio Input
Alan Shaji Idicula1, Kalpana Balani2, Preetesh Shetty3, Sayali Thalve4, T. Rajani Mangala5
1Alan Idicula, Electronics, Telecommunication Engg, Mumbai University, Mumbai, India.
2Kalpana Balani ,Electronics, Telecommunication Engg, Mumbai University, Mumbai, India.
3Preetesh Shetty , Electronics, Telecommunication Engg, Mumbai University, Mumbai, India.
4Sayali Thalve, Electronics, Telecommunication Engg, Mumbai University, Mumbai, India.
5Mrs. T. Rajani Mangala, Electronics, Telecommunication Dept, Mumbai University, Mumbai, India.
Manuscript received on May 25, 2013. | Revised Manuscript received on June 13, 2013. | Manuscript published on June 30, 2013. | PP: 110-113 | Volume-2, Issue-5, June 2013. | Retrieval Number: E1725062513/2013©BEIESP
Open Access | Ethics and Policies | Cite
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Generally a music piece plays on one single scale. Each scale is uniquely characterized by a set of specific notes. In this paper, a methodology is presented for the recognition of musical scales that are associated with any piece of music. The procedure of recognition is essentially based on the comparison between the combinations of notes occurring in any music piece, with a predefined set of notes denoting a scale. To determine scale from a musical recording, frequency of the note is the characteristic which is used to identify a note and differentiate it from other notes. The proposed methodology led to the development of a system which can be exploited by a beginner learning music. The system performed successful recognition for the 92% of the tested recordings. It should be noted that the proposed system can operate in real time.
Keywords: Audio input, Frequency, Matrix, Music, Note, Scale.