DocumentCode :
699636
Title :
Relative energy and intelligibility of transient speech components
Author :
Sungyub Yoo ; Boston, J. Robert ; Durrant, John D. ; Kovacyk, Kristie ; Karn, Stacey ; Shaiman, Susan ; El-Jaroudi, Amro ; Ching-Chung Li
Author_Institution :
Depts. of Electr. Eng., Univ. of Pittsburgh, Pittsburgh, PA, USA
fYear :
2004
fDate :
6-10 Sept. 2004
Firstpage :
1031
Lastpage :
1034
Abstract :
It is generally recognized that consonants are more critical than vowels to speech intelligibility, but we suggest that important information is contained in transient speech components, rather than the quasi-steady-state components of both consonants and vowels. Fixed-frequency filters cannot uniquely separate transients from the more steady-state vowel formants and consonant hubs, even though the former are predominately low frequency and the latter, high frequency. To study the relative speech intelligibility of the transient versus steady-state components, we employed an algorithm based on time-frequency analysis to extract quasi-steady-state energy from the speech signal, leaving a residual signal of predominantly transient components. Psychometric functions were measured for speech recognition of processed and unprocessed monosyllabic words. The transient components were found to account for approximately 2% of the energy of the original speech, yet were nearly equally intelligible. As hypothesized, the quasi-steady-state components contained much greater energy while providing significantly less intelligibility.
Keywords :
speech intelligibility; speech recognition; time-frequency analysis; consonant hubs; fixed-frequency filters; predominantly-transient components; processed monosyllabic word; psychometric functions; quasisteady-state component; quasisteady-state energy extraction; relative energy; relative speech intelligibility; residual signal; speech recognition; speech signal; steady-state vowel formants; time-frequency analysis; transient speech component intelligibility; unprocessed monosyllabic word; Abstracts; Cutoff frequency; Frequency estimation; Speech; Speech recognition; Transient analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing Conference, 2004 12th European
Conference_Location :
Vienna
Print_ISBN :
978-320-0001-65-7
Type :
conf
Filename :
7080166
Link To Document :
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