Pitch detection with average magnitude difference function using adaptive threshold algorithm for estimating shimmer and jitter

Author

Kim, Hae Young ; Lee, Jae Sung ; Sung, Myung-Whun ; Kim, Kwang Hyun ; Park, Kwang Suk

Author_Institution

Interdisciplinary Program in Med. & Biol. Eng. Major, Seoul Nat. Univ., South Korea

Volume

6

fYear

1998

fDate

29 Oct-1 Nov 1998

Firstpage

3162

Abstract

In order to estimate jitter and shimmer, we suggest a method for the detection of precise pitch and amplitude of voiced speech signal. After low-pass filtering, voiced/unvoiced decision and pitch detection is performed using the average magnitude difference function. We find a minimum value at t=τ and also check the possible minimum value at t=τ/2, τ/3, τ/4, τ/5, τ/6. By the application of adaptive threshold, we can estimate pitch more accurately

Keywords

adaptive filters; correlation theory; filtering theory; jitter; signal sampling; speech processing; adaptive threshold algorithm; average magnitude difference function; jitter estimation; low-pass filtering; pitch detection; precise amplitude; precise pitch; shimmer estimation; voiced speech signal; voiced/unvoiced decision; weighting factor; Amplitude estimation; Autocorrelation; Biomedical engineering; Data mining; Educational institutions; Filtering; Frequency estimation; Jitter; Low pass filters; Speech;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 1998. Proceedings of the 20th Annual International Conference of the IEEE

Conference_Location

Hong Kong

ISSN

1094-687X

Print_ISBN

0-7803-5164-9

Type

conf

DOI

10.1109/IEMBS.1998.746164

Filename

746164