Harmonic modification and data adaptive filtering based approach to robust pitch estimation

Authors:
Sujan Kumar Roy;Md. Khademul Molla;Keikichi Hirose;Md. Kamrul Hasan
Affiliations:
Dept. of Computer Science and Engineering, The University of Rajshahi, Rajshahi, Bangladesh;Dept. of Computer Science and Engineering, The University of Rajshahi, Rajshahi, Bangladesh and Dept. of Information and Communication Engineering, The University of Tokyo, Tokyo, Japan;Dept. of Information and Communication Engineering, The University of Tokyo, Tokyo, Japan;Dept. of Electrical and Electronic Engineering, Bangladesh University of Eng. & Tech. (BUET), Dhaka, Bangladesh and Dept. of Biomedical Engineering, Kyung Hee University, Kyungki, South Korea 446- ...
Venue:
International Journal of Speech Technology
Year:
2011

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Abstract

A novel and robust pitch estimation method is presented in this paper. The basic idea is to reshape the speech signal using a combination of the dominant harmonic modification (DHM) and data adaptive time domain filtering techniques. The noisy speech signal is filtered within the ranges of fundamental frequencies to obtain the pre-filtered signal (PFS). The dominant harmonic (DH) of the PFS is determined and enhanced its amplitude. Normalized autocorrelation function (NACF) is applied to that modified signal. Then empirical mode decomposition (EMD) based data adaptive time domain filtering is applied to the NACF signal. Partial reconstruction is performed in EMD domain. The pitch period is determined from the partially reconstructed signal. The experimental results show that the proposed method performs better than the other recently developed methods for noisy and clean speech signals in terms of gross and fine pitch errors.