Vol. 3 Núm. 2 (2016): Approaching Diversity in Speech Studies: New Methodologies under Empirical Perspectives
Corpora and Tools

An automatic speech segmentation tool based on multiple acoustic parameters

Maryualê Malvessi Mittmann
Univ. di Firenze
Plínio Almeida Barbosa
Universidade Estadual de Campinas
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)


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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