2022
DOI: 10.15366/chimera2016.3.2.003
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An automatic speech segmentation tool based on multiple acoustic parameters

Abstract: Speech segmentation is required not only for linguistic research based on oral corpora, but had become essential for natural language processing. Many researchers have developed different approaches to deal with the need of automatic segmentation of speech data. In this paper we discuss some of the prosodic parameters used as cues for boundary identification and present an ongoing project for the automatic segmentation of spontaneous speech developed for Brazilian Portuguese.

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Cited by 4 publications
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