2016 7th International Conference on Sciences of Electronics, Technologies of Information and Telecommunications (SETIT) 2016
DOI: 10.1109/setit.2016.7939878
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Spoken term detection based on acoustic speech segmentation

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Cited by 3 publications
(1 citation statement)
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“…The smoothed energy contour is searched then in order to find local minima that imply to syllable units. Benati and Halima (2016) suggests the use of an acoustic-based algorithm for the segmentation which exploits acoustic particularities of the speech stream to detect word frontiers. Fréjus et al (2015) presents an algorithm using fuzzy logic approach to perform the continuous speech segmentation task from non-linear speech analysis.…”
Section: Word (N)mentioning
confidence: 99%
“…The smoothed energy contour is searched then in order to find local minima that imply to syllable units. Benati and Halima (2016) suggests the use of an acoustic-based algorithm for the segmentation which exploits acoustic particularities of the speech stream to detect word frontiers. Fréjus et al (2015) presents an algorithm using fuzzy logic approach to perform the continuous speech segmentation task from non-linear speech analysis.…”
Section: Word (N)mentioning
confidence: 99%