Corpora and Tools
An automatic speech segmentation tool based on multiple acoustic parameters
Publicado
enero 28, 2022
Palabras clave:
speech segmentation, spontaneous speech, prosodic boundaries, automatic segmentation
Cómo citar
Mittmann, M. M., & Barbosa, P. A. (2022). An automatic speech segmentation tool based on multiple acoustic parameters. CHIMERA: Revista De Corpus De Lenguas Romances Y Estudios Lingüísticos, 3(2), 133–147. https://doi.org/10.15366/chimera2016.3.2.003 (Original work published 21 de septiembre de 2016)
Derechos de autor 2016 CHIMERA: Revista de Corpus de Lenguas Romances y Estudios Lingüísticos
Esta obra está bajo una licencia internacional Creative Commons Atribución-NoComercial 4.0.
Resumen
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.Descargas
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