Abstract : This paper describes an approach to the problem of automated music transcription. The Continuous Wavelet-like Transform is used as a basic time-frequency analysis of a musical signal due to its flexibility in time-frequency resolutions. The signal is then sequentially modeled by a number of tone harmonic structures; on each iteration a dominant harmonic structure is considered to be a pitch candidate. The transcription performance is measured on test data generated by MIDI wavetable synthesis both from MIDI files and played on a keyboard. Three cases: monophonic, polyphonic and complicated polyphonic are examined.
https://hal.archives-ouvertes.fr/hal-01589547
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Submitted on : Monday, September 18, 2017 - 4:34:42 PM Last modification on : Wednesday, July 8, 2020 - 12:43:46 PM
Aliaksandr Paradzinets, Hadi Harb, Liming Chen. Use of Continuous Wavelet-like Transform in Automated Music Transcription. 14th European Signal Processing Conference, EUSIPCO06, Sep 2006, Florence, Italy. ⟨hal-01589547⟩