Title :
Real-time swara recognition system in Indian Music using TMS320C6713
Author :
M.S. Sinith;Shikha Tripathi;K. V. V. Murthy
Author_Institution :
Govt. Engineering College, Thrissur, Kerala, India
Abstract :
Swara is the basic component of Indian Music. Swara recognition is the starting point of music pattern classification in Indian classical music. The recognition of swara in real-time is often required for judging the quality of tone of a vocalist or an instrumentalist. In this age of reality shows of music, a stand alone electronic system for swara recognition is very relevant, where the system would precisely judge the contestant in terms of swara perfection. In this context a swara recognition system is designed and implemented on a Texas Instrumemts Digital Signal Processor TMS320C6713. In this system the fundamental frequency is tracked using FFT algorithm and also using a newly developed algorithm which works efficiently in Digital Signal Processors. The frequency so obtained is wrapped to a single octave. The fundamental frequency is then mapped to twelve distinct values corresponding to twelve semi-notes and displayed in the LED display of the DSP Processor. The efficiency of the system is tested in terms of memory usage and speed.
Keywords :
"Algorithm design and analysis","Digital signal processing","Harmonic analysis","Signal processing algorithms","Instruments","Real-time systems","Multiple signal classification"
Conference_Titel :
Advances in Computing, Communications and Informatics (ICACCI), 2015 International Conference on
Print_ISBN :
978-1-4799-8790-0
DOI :
10.1109/ICACCI.2015.7275884