Preference for 20-40 ms window duration in speech analysis

File Size Format
68642_1.pdf 426Kb Adobe PDF View
Title Preference for 20-40 ms window duration in speech analysis
Author Paliwal, Kuldip Kumar; Lyons, James; Wojcicki, Kamil
Publication Title 4th International Conference on Signal Processing and Communication Systems, ICSPCS'2010. Proceedings
Editor Beata J Wysocki and Tadeusz A Wysocki
Year Published 2010
Place of publication Cupertino
Publisher IEEE
Abstract In speech processing the short-time magnitude spectrum is believed to contain most of the information about speech intelligibility and it is normally computed using the short-time Fourier transform over 20–40 ms window duration. In this paper, we investigate the effect of the analysis window duration on speech intelligibility in a systematic way. For this purpose, both subjective and objective experiments are conducted. The subjective experiment is in a form of a consonant recognition task by human listeners, whereas the objective experiment is in a form of an automatic speech recognition (ASR) task. In our experiments various analysis window durations are investigated. For the subjective experiment we construct speech stimuli based purely on the short-time magnitude information. The results of the subjective experiment show that the analysis window duration of 15–35 ms is the optimum choice when speech is reconstructed from the short-time magnitude spectrum. Similar conclusions were made based on the results of the objective (ASR) experiment. The ASR results were found to have statistically significant correlation with the subjective intelligibility results.
Peer Reviewed Yes
Published Yes
Alternative URI http://dx.doi.org/10.1109/ICSPCS.2010.5709770
Copyright Statement Copyright 2010 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
ISBN 9781424479078
Conference name 4th International Conference on Signal Processing and Communication Systems (ICSPCS 2010)
Location Gold Coast, Australia
Date From 2011-12-13
Date To 2011-12-15
URI http://hdl.handle.net/10072/37258
Date Accessioned 2011-02-25
Language en_AU
Research Centre Institute for Integrated and Intelligent Systems
Faculty Faculty of Science, Environment, Engineering and Technology
Subject Signal Processing
Publication Type Conference Publications (Full Written Paper - Refereed)
Publication Type Code e1

Show simple item record

Griffith University copyright notice