DocumentCode
3522042
Title
Phonetic recognition using peak weighted binary spectrum
Author
Kim, Ki Chul ; Lee, Hwang Soo ; Cho, Jung Wan
Author_Institution
Dept. of Comput. Sci., Korean Adv. Inst. of Sci. & Technol., Seoul, South Korea
fYear
1989
fDate
23-26 May 1989
Firstpage
330
Abstract
Invariant acoustic-phonetic features conveyed simultaneously by the stable and the transient portion of the speech signal are investigated quantitatively using a relational cue. To represent the relational cue effectively, a peak-weighted binary spectrum is proposed. Prevocalic nasal recognition results show speaker independence and improved performance in comparison with dynamic time-warping methods
Keywords
speech recognition; invariant acoustic-phonetic features; peak weighted binary spectrum; phonetic recognition; prevocalic nasal recognition; relational cue; speaker independence; speech recognition; Acoustical engineering; Auditory system; Computer science; Feature extraction; Humans; Labeling; Linear predictive coding; Loudspeakers; Spectral analysis; Speech recognition;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 1989. ICASSP-89., 1989 International Conference on
Conference_Location
Glasgow
ISSN
1520-6149
Type
conf
DOI
10.1109/ICASSP.1989.266432
Filename
266432
Link To Document