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Automatic music transcription based on non-negative matrix factorization

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ICS'10: Proceedings of the 14th WSEAS international conference on Systems: part of the 14th WSEAS CSCC multiconference - Volume I

Pages 288 - 291

Published: 22 July 2010 Publication History

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Abstract

In this paper, we present a method for the automatic transcription of polyphonic piano music. The input to this method consists in piano music recordings stored in WAV files, while the pitch of all the notes in the corresponding score forms the output. This method operates on a frame-by-frame basis and exploits a suitable time-frequency representation of the audio signal. The solution proposed consists of a musical note transcription algorithm based on Short-Time Fourier Transform (STFT) and Non-Negative Matrix Factorization (NMF). To validate our method, we present a collection of experiments of piano music, using J.S Bach's three part inventions.

References

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Automatic music transcription based on non-negative matrix factorization

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ICS'10: Proceedings of the 14th WSEAS international conference on Systems: part of the 14th WSEAS CSCC multiconference - Volume I

July 2010

352 pages

ISBN:9789604741991

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World Scientific and Engineering Academy and Society (WSEAS)

Stevens Point, Wisconsin, United States

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Published: 22 July 2010

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Automatic transcription of flamenco singing from polyphonic music recordings

Automatic Lyric Transcription and Automatic Music Transcription from Multimodal Singing

Estimation of Music Recording Quality to Predict Automatic Music Transcription Performance

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