Summary: AUTOMATIC DETECTION OF VOICE ONSET TIME CONTRASTS FOR USE IN
PRONUNCIATION ASSESSMENT
Abe Kazemzadeh1
, Joseph Tepperman1
, Jorge Silva1
, Hong You2
,
Sungbok Lee1
, Abeer Alwan2
, and Shrikanth Narayanan1
1
Speech Analysis and Interpretation Laboratory, University of Southern California
2
Speech Processing and Auditory Perception Laboratory, University of California, Los Angeles
ABSTRACT
This study examines methods for recognizing different
classes of phones from accented speech based on voice on-
set time (VOT). These methods are tested on data from the
Tball corpus of Los Angeles-area elementary school chil-
dren [1]. The methods proposed and tested are: 1) to train

Source: Alwan, Abeer - Electrical Engineering Department, University of California at Los Angeles
Narayanan, Shrikanth S. - Department of Electrical Engineering, University of Southern California

Collections: Computer Technologies and Information Sciences