C/V Segmentation on Mandarin Spontaneous Spoken Speech Signals Using SNR Improvement and Energy Variation

Authors:
Ching-Ta Lu;Hsiao-Chuan Wang
Affiliations:
The author is with the Department of Electrical Engineering, National Tsing Hua University, Hsinchu, and also with the Department of Electronic Engineering, Chin Min Institute of Technology, Miao- ...;The author is with the Department of Electrical Engineering, National Tsing Hua University, Hsinchu, Taiwan, R.O.C.
Venue:
IEICE - Transactions on Information and Systems
Year:
2006

Citing 0
Cited 1

The radar-graphic speech learning system for hearing impaired

Expert Systems with Applications: An International Journal

Quantified Score

Hi-index	0.00

Visualization

Abstract

An efficient and simple approach to consonant/vowel (C/V) segmentation by incorporating the SNR improvement of a speech enhancement system with the energy variation of two adjacent frames is proposed. Experimental results show that the proposed scheme performs well in segmenting C/V for a spontaneously spoken utterance.