Automatic music transcription for sitar music analysis

The automatic transcription for non-Western music presents unique challenges, particularly because the result is often imperfect. How to improve automatic music transcription (AMT) for computational musicology research are open questions. In this paper, we report a novel AMT method and a set of analysis strategies for sitar recordings. With a detailed introduction of the proposed harmonic multi-layered cepstrum (HMLC) and combined frequency-periodicity (CFP) signal representations, we also provide the tonal, temporal and structural analysis based on the AMT result. Our proposed AMT method produces improved results, and we further demonstrate the advantages of using this AMT method in musicological analysis.