A Parametric Method for Pitch Estimation of Piano Tones

The efficiency of most pitch estimation methods declines when the analyzed frame is shortened and/or when a wide fundamental frequency (F o ) range is targeted. The technique proposed herein jointly uses a periodicity analysis and a spectral matching process to improve the f o estimation performance...

Full description

Saved in:
Bibliographic Details
Main Authors: Emiya, V., David, B., Badeau, R.
Format: Conference Proceeding
Language:English
Subjects:
Acoustic noise
Amplitude estimation
audio processing
Computational efficiency
Damping
Filter bank
Frequency domain analysis
Frequency estimation
Performance analysis
pitch estimation
Spectral analysis
White noise
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:The efficiency of most pitch estimation methods declines when the analyzed frame is shortened and/or when a wide fundamental frequency (F o ) range is targeted. The technique proposed herein jointly uses a periodicity analysis and a spectral matching process to improve the f o estimation performance in such an adverse context: a 60 ms-long data frame together with the whole, 71/4-octaves, piano tessitura. The enhancements are obtained thanks to a parametric approach which, among other things, models the inharmonicity of piano tones. The performance of the algorithm is assessed, is compared to the results obtained from other estimators and is discussed in order to characterize their behavior and typical misestimations.
ISSN:1520-6149
2379-190X
DOI:10.1109/ICASSP.2007.366663