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Automatic Transcription of Polyphonic Music Based on the Constant-Q Bispectral Analysis

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3 Author(s)
Fabrizio Argenti ; Department of Electronics and Telecommunication Engineering (DET), University of Florence, Italy ; Paolo Nesi ; Gianni Pantaleo

In the area of music information retrieval (MIR), automatic music transcription is considered one of the most challenging tasks, for which many different techniques have been proposed. This paper presents a new method for polyphonic music transcription: a system that aims at estimating pitch, onset times, durations, and intensity of concurrent sounds in audio recordings, played by one or more instruments. Pitch estimation is carried out by means of a front-end that jointly uses a constant-Q and a bispectral analysis of the input audio signal; subsequently, the processed signal is correlated with a fixed 2-D harmonic pattern. Onsets and durations detection procedures are based on the combination of the constant-Q bispectral analysis with information from the signal spectrogram. The detection process is agnostic and it does not need to take into account musicological and instrumental models or other a priori knowledge. The system has been validated against the standard Real-World Computing (RWC)-Classical Audio Database. The proposed method has demonstrated good performances in the multiple F0 tracking task, especially for piano-only automatic transcription at MIREX 2009.

Published in:

IEEE Transactions on Audio, Speech, and Language Processing  (Volume:19 ,  Issue: 6 )