Musical Instrument Recognition and Transcription using Neural Network
V S Shelar and D G Bhalke. Article: Musical Instrument Recognition and Transcription using Neural Network. IJCA Proceedings on Emerging Trends in Electronics and Telecommunication Engineering 2013 NCET:31-36, March 2014. Full text available. BibTeX
@article{key:article,
author = {V. S. Shelar and D. G. Bhalke},
title = {Article: Musical Instrument Recognition and Transcription using Neural Network},
journal = {IJCA Proceedings on Emerging Trends in Electronics and Telecommunication Engineering 2013},
year = {2014},
volume = {NCET},
pages = {31-36},
month = {March},
note = {Full text available}
}
Abstract
In this paper musical instrument recognition and transcription for piano, guitar, violin is discussed. The system is implementing in two stages; first stage is musical instrument recognised using spectral features after recognising instrument musical note is recognised using different frequency estimation methods. Feed forward Neural Network has been used as classifier. The system is implemented for Single Instrument Single Note (SISN), Single Instrument Multiple Note (SIMN) and Multiple Instrument Multiple Note (MIMN). The average accuracy is achieved for three instruments is recorded 80%.
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