Abstract
AbstractThis paper describes a method for transcribing the main structure of polyphonic music audio automatically by analyzing musical tonality related musicological information. Music transcription is a difficult topic in Music Information Retrieval (MIR) which contains many tasks to recognize all the elements of music. Among all these musical factors, tonality is a basic but elusive one, and plays as the core in organizing music structure. So by making an investigation into cognition and musicology, we propose an approach to transcribe major component of polyphonic music from the point of view of tonality. Unlike previous studies, our method focuses on music cognition theory instead of signal processing and pattern classification. Basing on our former work on key finding and chord recognition, we introduce a new cognitive feature called auditory saliency (AS), which contains both statistically modeled information about human's acoustic attention and psychology measured data on human's musical perception...
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