NDLI: Thai syllable segmentation for connected speech based on energy

Content Provider	IEEE Xplore Digital Library
Author	Jittiwarangkul, N. Jitapunkul, S. Luksaneeyanavin, S. Ahkuputra, V. Wutiwiwatchai, C.
Copyright Year	1998
Description	Author affiliation: Digital Signal Process. Res. Lab., Chulalongkorn Univ., Bangkok, Thailand (Jittiwarangkul, N.)
Abstract	This paper proposes 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 et al. [1981].
Starting Page	169
Ending Page	172
File Size	583403
Page Count	4
File Format	PDF
ISBN	0780351460
DOI	10.1109/APCCAS.1998.743703
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1998-11-24
Publisher Place	Thailand
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Speech Signal processing algorithms Smoothing methods Root mean square Equalizers Digital signal processing Laboratories Power engineering and energy Signal detection Low pass filters
Content Type	Text
Resource Type	Article

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