Pyrlato: A novel methodology to collect real-world acoustic data

• Giuseppe Magistro ^[1] ; Claudia Crocco ^[1]
  1. [1] Ghent University

     Ghent University

     Arrondissement Gent, Bélgica

     
• Localización: Estudios de fonética experimental, ISSN 1575-5533, ISSN-e 2385-3573, Nº. 32, 2023, págs. 243-254
• Idioma: inglés
• Títulos paralelos:
  • Pyrlato: Una metodologia innovadora per recopilar dades acústiques del món real
• Enlaces
  • Texto completo
• Resumen
  • català

    En aquest article presentem Pyrlato, una eina innovadora desenvolupada en Pythonper recopilar dades acústiques de YouTube. El desenvolupament d’aquesta eina va ser motivat per la necessitat de recopilar de manera convenient dades de parla del món real. Mitjançant l’execució d’aquest codi de Python, els investigadors poden obtenir un corpus parlat de paraules específiques, síl·labes, constituents i més. Il·lustrem els passos principals de l’execució per demostrar com funciona i com utilitzar-ho. A més, proporcionem un exemple complet de referència, demostrant com personalitzar Pyrlatosegons requi-sits específics. Finalment, discutim els desenvolupaments futurs que es pretenen amb Pyrlato.

  • English

    In this paper, we present Pyrlato, an innovative tool developed in Pythonfor collecting acoustic data from YouTube. The development of this tool was motivated by the need to conveniently collect real-world spokendata. By executing this Python code, researchers can obtain a spoken corpus of specific words, syllables, constituents, and more. We illustrate the main steps of the execution to demonstrate how it works and how to use it. Additionally, we provide a complete example for reference, demon-strating how to customize Pyrlatoaccording to specific requirements. Finally, we discuss the future developments we intend tocover for Pyrlato.

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