JOURNAL ARTICLE

Pitch extraction using modified higher order moments

Abstract

This paper proposes a set of higher-order modified moments as alternative objective criteria for pitch extraction and explores the impact of the speech window length on pitch estimation error. To obtain the Kth order modified moment, each speech frame is split into a positive-valued signal and a negative-valued signal. The magnitudes of the Kth order moments for the positive and the negative valued signals are obtained and combined. The proposed objective criteria form a relatively sharp peak around the true pitch value compared to the correlation function. For calculation of errors, pitch reference (`ground truth') values are calculated from manually-corrected estimates of the periods obtained from laryngograph signals. The results obtained for the third order modified moment are compared with the results for correlation and magnitude difference criteria and the YIN method. The modified moments provide improved pitch accuracy with less occurrence of large errors (e.g. half or double pitch estimation errors).

Keywords:
Moment (physics) Pitch detection algorithm Mathematics SIGNAL (programming language) Algorithm Set (abstract data type) Order (exchange) Function (biology) Speech recognition Mathematical analysis Statistics Computer science Physics Speech processing

Metrics

3
Cited By
0.67
FWCI (Field Weighted Citation Impact)
16
Refs
0.71
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Speech and Audio Processing
Physical Sciences →  Computer Science →  Signal Processing
Music and Audio Processing
Physical Sciences →  Computer Science →  Signal Processing
Advanced Adaptive Filtering Techniques
Physical Sciences →  Engineering →  Computational Mechanics

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