An innovative approach to transcription of polyphonic signals

In this paper, a new method is proposed to separate and identify polyphonic signals generated by an acoustic piano. The method consists of a top down extraction architecture using a harmonics-tracking algorithm followed by a bottom up reconstruction architecture based on a set of the expected profil...

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Bibliographic Details
Main Authors: Foo, Say Wei, Lee, Edwin Wei Thai
Other Authors: IEEE International Conference on Information, Communications and Signal Processing (3rd : 2001 : Singapore)
Format: Conference or Workshop Item
Language:English
Published: 2009
Online Access:https://hdl.handle.net/10356/90569
http://hdl.handle.net/10220/4613
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Institution: Nanyang Technological University
Language: English
Description
Summary:In this paper, a new method is proposed to separate and identify polyphonic signals generated by an acoustic piano. The method consists of a top down extraction architecture using a harmonics-tracking algorithm followed by a bottom up reconstruction architecture based on a set of the expected profiles of single notes. In addition to the architectures mentioned above, a heuristic function is also included to further re-enforce the robustness and the ability to recognize multiple notes and to pull apart octave unison. The algorithm was tested with chords that consist of multiple notes. Some of the notes are one octave apart. It is shown that a recognition accuracy of 96% can be achieved using the proposed method.