A new band-splitting method for two-band speech model

Author

Kim, Eun-Kyoung ; Han, Woo-Jin ; Oh, Yung-Hwan

Author_Institution

Dept. of Comput. Sci., Korea Adv. Inst. of Sci. & Technol., Taejon, South Korea

Volume

8

Issue

12

fYear

2001

Firstpage

317

Lastpage

320

Abstract

A new band-splitting method for two-band speech model is proposed, whereby a score function based on the subband periodicity is calculated for each harmonic band and the band of maximum score is selected as the band-splitting frequency. Using the score function, a tracking technique is applied to the algorithm for the continuity of the band-splitting frequencies between neighboring frames. This method has proven to be robust to the inaccuracy of pitch estimation and the frequency resolution problem in low-pitched speech.

Keywords

correlation methods; fast Fourier transforms; frequency estimation; inverse problems; signal resolution; speech processing; tracking; autocorrelation functions; band-splitting frequency estimation; band-splitting method; frequency resolution; harmonic band; inverse fast Fourier transform; low-pitched speech; pitch estimation; score function; subband periodicity; tracking technique; two-band speech model; 1f noise; Autocorrelation; Distortion measurement; Frequency estimation; Frequency synthesizers; Harmonic distortion; Noise robustness; Power harmonic filters; Speech enhancement; Speech synthesis;

fLanguage

English

Journal_Title

Signal Processing Letters, IEEE

Publisher

ieee

ISSN

1070-9908

Type

jour

DOI

10.1109/97.975880

Filename

975880