By Topic

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

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

5 Author(s)
Hae Young Kim ; Interdisciplinary Program in Med. & Biol. Eng. Major, Seoul Nat. Univ., South Korea ; Jae Sung Lee ; Myung-Whun Sung ; Kwang Hyun Kim
more authors

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

Published in:

Engineering in Medicine and Biology Society, 1998. Proceedings of the 20th Annual International Conference of the IEEE  (Volume:6 )

Date of Conference:

29 Oct-1 Nov 1998