There exist number of musical instruments in the world; each has its own melody and recognition techniques. The purpose of this paper is to propose a hypothesis for extraction of melodic pattern from the polyphonic audio recording of North Indian Classical Music files related to Mohan Veena. The paper discusses about the useful algorithm, application and techniques for extraction and evaluation. The five stages procedure: first, stream separation by Non-negative Matrix Factorization (NMF). Second, instrument recognition – extracting stream related to Mohan Veena using spectrogram and autocorrelation technique. Third, extracting methods which comprises of Sinusoid extraction, system analyzes the audio signal and extract spectral peaks for constructing the salience function where the spectral peaks could be used to compute representation of pitch salience over time, followed by pitch counter technique. Fourth, melody extraction from the extracted pitches counter and finally about the evaluation technique with some discussion.

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Polyphonic Audio Mohan Veena Non-negative Matrix Factorization Spectrogram Autocorrelation Sinusoid Extraction Salience Function Pitch Counter