Pyrlato: A novel methodology to collect real-world acoustic data
In this paper, we present Pyrlato, an innovative tool developed in Python for collecting acoustic data from YouTube. The development of this tool was motivated by the need to conveniently collect real-world spoken data. By executing this Python code, researchers can obtain a spoken corpus of specif...
| Main Authors: | , |
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| Format: | Article |
| Language: | Catalan |
| Published: |
Universitat de Barcelona
2023-11-01
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| Series: | Estudios de Fonética Experimental |
| Subjects: | |
| Online Access: | https://revistes.ub.edu/index.php/experimentalphonetics/article/view/45019 |
| _version_ | 1797302126804729856 |
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| author | Giuseppe Magistro Claudia Crocco |
| author_facet | Giuseppe Magistro Claudia Crocco |
| author_sort | Giuseppe Magistro |
| collection | DOAJ |
| description |
In this paper, we present Pyrlato, an innovative tool developed in Python for collecting acoustic data from YouTube. The development of this tool was motivated by the need to conveniently collect real-world spoken data. 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, demonstrating how to customize Pyrlato according to specific requirements. Finally, we discuss the future developments we intend to cover for Pyrlato.
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| first_indexed | 2024-03-07T23:32:17Z |
| format | Article |
| id | doaj.art-24998548dd42417abd0e952c96b55f1c |
| institution | Directory Open Access Journal |
| issn | 1575-5533 2385-3573 |
| language | Catalan |
| last_indexed | 2024-03-07T23:32:17Z |
| publishDate | 2023-11-01 |
| publisher | Universitat de Barcelona |
| record_format | Article |
| series | Estudios de Fonética Experimental |
| spelling | doaj.art-24998548dd42417abd0e952c96b55f1c2024-02-20T11:51:28ZcatUniversitat de BarcelonaEstudios de Fonética Experimental1575-55332385-35732023-11-0132Pyrlato: A novel methodology to collect real-world acoustic dataGiuseppe Magistro0Claudia Crocco1Ghent UniversityGhent University In this paper, we present Pyrlato, an innovative tool developed in Python for collecting acoustic data from YouTube. The development of this tool was motivated by the need to conveniently collect real-world spoken data. 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, demonstrating how to customize Pyrlato according to specific requirements. Finally, we discuss the future developments we intend to cover for Pyrlato. https://revistes.ub.edu/index.php/experimentalphonetics/article/view/45019real-word dataecological vadilitydata scraping |
| spellingShingle | Giuseppe Magistro Claudia Crocco Pyrlato: A novel methodology to collect real-world acoustic data Estudios de Fonética Experimental real-word data ecological vadility data scraping |
| title | Pyrlato: A novel methodology to collect real-world acoustic data |
| title_full | Pyrlato: A novel methodology to collect real-world acoustic data |
| title_fullStr | Pyrlato: A novel methodology to collect real-world acoustic data |
| title_full_unstemmed | Pyrlato: A novel methodology to collect real-world acoustic data |
| title_short | Pyrlato: A novel methodology to collect real-world acoustic data |
| title_sort | pyrlato a novel methodology to collect real world acoustic data |
| topic | real-word data ecological vadility data scraping |
| url | https://revistes.ub.edu/index.php/experimentalphonetics/article/view/45019 |
| work_keys_str_mv | AT giuseppemagistro pyrlatoanovelmethodologytocollectrealworldacousticdata AT claudiacrocco pyrlatoanovelmethodologytocollectrealworldacousticdata |