Introducing the SEA_APan enhanced tool for automatic prosodic analysis

  1. Marta Martínez 1
  2. Rocío Varela 1
  3. Carmen García Mateo 1
  4. Elisa Fernández Rei 2
  5. Adela Martínez Calvo 2
  1. 1 Universidade de Vigo
    info

    Universidade de Vigo

    Vigo, España

    ROR https://ror.org/05rdf8595

  2. 2 Universidade de Santiago de Compostela
    info

    Universidade de Santiago de Compostela

    Santiago de Compostela, España

    ROR https://ror.org/030eybx10

Buch:
10th conference on International Language Resources and Evaluation (LREC'16)
  1. Nicoletta Calzolari (coord.)
  2. Khalid Choukri (coord.)
  3. Thierry Declerck (coord.)
  4. Asuncion Moreno (coord.)

Verlag: European Language Resources Association

ISBN: 978-2-9517408-9-1

Datum der Publikation: 2016

Seiten: 1963-1969

Art: Buch-Kapitel

Zusammenfassung

SEA_AP (Segmentador e Etiquetador Automatico para Analise Prosodica, Automatic Segmentation and Labelling for Prosodic Analysis) toolkit is an application that performs audio segmentation and labelling to create a TextGrid file which will be used to launch a prosodic analysis using Praat. In this paper, we want to describe the improved functionality of the tool achieved by adding a dialectometric analysis module using R scripts. The dialectometric analysis includes computing correlations among F0 curves and it obtains prosodic distances among the different variables of interest (location, speaker, structure, etc.). The dialectometric analysis requires large databases in order to be adequately computed, and automatic segmentation and labelling can create them thanks to a procedure less costly than the manual alternative. Thus, the integration of these tools into the SEA_AP allows to propose a distribution of geoprosodic areas by means of a quantitative method, which completes the traditional dialectological point of view. The current version of the SEA_AP toolkit is capable of analysing Galician, Spanish and Brazilian Portuguese data, and hence the distances between several prosodic linguistic varieties can be measured at present.