Title :
On detecting the steady state segments of phonemes by using the magnitude distribution of speech waveforms
Author :
Bae, MyungJin ; Lee, Misuk ; Lee, Haegoon
Author_Institution :
Dept. of Electron. Eng., Hoseo Univ., Chungnam, South Korea
Abstract :
To recognize continued speech, it is necessary to segment the connected acoustic signal into phonetic units. A new magnitude distribution is proposed as a parameter to detect steady-state segments in continued speech. The suggested parameter represents a change rate of the magnitude of speech signals. Comparing this distribution with the other in the adjacent frame, it is possible to determine whether the state of the frame is either steady or transient
Keywords :
acoustic signal processing; speech analysis and processing; speech recognition; connected acoustic signal; continued speech; magnitude distribution; phonemes; speech waveforms; steady state segments; Acoustic signal detection; Fluctuations; Linear predictive coding; Logic; Signal analysis; Smoothing methods; Speech analysis; Speech recognition; Steady-state; Transient analysis;
Conference_Titel :
TENCON '92. ''Technology Enabling Tomorrow : Computers, Communications and Automation towards the 21st Century.' 1992 IEEE Region 10 International Conference.
Conference_Location :
Melbourne, Vic.
Print_ISBN :
0-7803-0849-2
DOI :
10.1109/TENCON.1992.271973
