Implementation of melody extraction algorithms from polyphonic audio for Music Information Retrieval

Abstract

Melody extraction from polyphonic audio, which consists of number of different instruments, is one of the most challenging tasks in the field of Music Information Retrieval (MIR). This paper aims at implementation of extracting melody using two-way mismatch dual pitch tracking (TWMDPT) and harmonic cluster tracking (HCT) algorithms. In this work, melody of singing voice is estimated in presence of multi-accompaniment. In the first method temporal features of voice harmonics are used to find the voice pitch and it is based on salience function. The second method depends upon strong higher harmonics for robustness against distortion by the first harmonic due to low frequency accompaniments. Performance of these algorithms is evaluated on MIR-1k database and accuracy is estimated using Raw Pitch Accuracy (RPA), Raw Chroma Accuracy (RCA) and timbre feature.