Pitch estimation using multiple independent time-frequency windows

A system for the detection of the pitch of musical sounds at a wide pitch range and in diverse conditions is presented. The system is built upon a pitch model that calculates independent pitch estimates in separate time-frequency windows and then combines them to yield a single estimate of the pitch. Both psychoacoustic and computational experiments were carried out to determine the optimal sizes of the elementary windows. The robustness of the system in wide-band additive noise and in the interference of another harmonic sound are demonstrated. An extension of the algorithm to the multi-pitch case is described, and simulation results for two-voice polyphonics are presented.

[1]  Thomas Baer,et al.  A model for the prediction of thresholds, loudness, and partial loudness , 1997 .

[2]  N. Fletcher,et al.  Music Producers.(Book Reviews: The Physics of Musical Instruments.) , 1991 .

[3]  Anssi Klapuri,et al.  Number theoretical means of resolving a mixture of several harmonic sounds , 1998, 9th European Signal Processing Conference (EUSIPCO 1998).

[4]  Anssi Klapuri,et al.  Wide-Band Pitch Estimation for Natural Sound Sources with Inharmonicities , 1999 .

[5]  Kunio Kashino,et al.  A Sound Source Separation System with the Ability of Automatic Tone Modeling , 1993, International Conference on Mathematics and Computing.

[6]  Ray Meddis,et al.  Virtual pitch and phase sensitivity of a computer model of the auditory periphery , 1991 .

[7]  David A. Krubsack,et al.  A spectral autocorrelation method for measurement of the fundamental frequency of noise-corrupted speech , 1987, IEEE Trans. Acoust. Speech Signal Process..

[8]  Matti Karjalainen,et al.  Multi-pitch and periodicity analysis model for sound separation and auditory scene analysis , 1999, 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258).

[9]  Tetsuya Shimamura,et al.  Robust method of measurement of fundamental frequency by ACLOS: autocorrelation of log spectrum , 1996, 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing Conference Proceedings.