Abstract / truncated to 115 words (read the full abstract)

Automatic music transcription is the process of converting an audio recording into a symbolic representation using musical notation. It has numerous applications in music information retrieval, computational musicology, and the creation of interactive systems. Even for expert musicians, transcribing polyphonic pieces of music is not a trivial task, and while the problem of automatic pitch estimation for monophonic signals is considered to be solved, the creation of an automated system able to transcribe polyphonic music without setting restrictions on the degree of polyphony and the instrument type still remains open. In this thesis, research on automatic transcription is performed by explicitly incorporating information on the temporal evolution of sounds. First efforts address the problem by ... toggle 3 keywords

music signal analysis multi-pitch detection automatic music transcription


Benetos, Emmanouil
Centre for Digital Music, Queen Mary University of London
Publication Year
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Feb. 4, 2013

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