Thai syllable segmentation for connected speech based on energy

被引：5

作者：

Jittiwarangkul, N ^{[1
]}

Jitapunkul, S ^{[1
]}

Luksaneeyanawin, S ^{[1
]}

Ahkuputra, V ^{[1
]}

Wutiwiwatchai, C ^{[1
]}

机构：

[1] Chulalongkorn Univ, Fac Engn, Dept Elect Engn, Digital Signal Proc Res Lab, Bangkok 10330, Thailand

来源：

APCCAS '98 - IEEE ASIA-PACIFIC CONFERENCE ON CIRCUITS AND SYSTEMS: MICROELECTRONICS AND INTEGRATING SYSTEMS | 1998年

关键词：

D O I：

10.1109/APCCAS.1998.743703

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper proposed a novel technique based on local maximum and minimum energy contour to segment syllables of connected speech. Energy contour used in this technique was obtained from five energy algorithms: the absolute energy, the root mean square energy, the square energy, Teager energy and the modified Teager energy. The experimental result was conducted on 36 utterances, 11 speakers (7 male and 4 females) for evaluation empirical threshold and parameter values in each energy algorithm. The result from our technique that is based on the local maximum and minimum energy was better than the commonly used endpoint detection technique based on level equalizer proposed by Lamel L.F.

引用

页码：169 / 172

页数：4