Speaker Identification from Forensic Phonetics: Application of SplitsTree4 Software for Schematic Organization of Linguistic Data

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This article presents a proposal for the interpretation and organization of the phonetic characteristics of indubitable and dubitative samples using SplitsTree4 software, with the purpose of clarifying an alleged crime of bribery in the exercise of police functions to the detriment of the State. The...

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Detalles Bibliográficos
Autores: Jimenez Peña, Jhon, Torres Castillo, Fernando Aaron, Cueva Sanchez, Oscar Esaul
Formato: artículo
Fecha de Publicación:2022
Institución:Academia Peruana de la Lengua
Repositorio:Boletín de la Academia Peruana de la Lengua
Lenguaje:español
OAI Identifier:oai:ojs.revistas.apl.org.pe:article/827
Enlace del recurso:https://revistas.apl.org.pe/index.php/boletinapl/article/view/827
Nivel de acceso:acceso abierto
Materia:Speaker identification
Forensic Phonetic
SplitsTree4
phonetic-phonological processes
identificación de locutor
fonética forense
procesos fonético-fonológicos
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spelling Speaker Identification from Forensic Phonetics: Application of SplitsTree4 Software for Schematic Organization of Linguistic DataIdentificación de locutor a partir de la fonética forense: aplicación del software SplitsTree4 para una organización esquemática de los datos lingüísticosJimenez Peña, Jhon Torres Castillo, Fernando AaronCueva Sanchez, Oscar EsaulSpeaker identificationForensic PhoneticSplitsTree4phonetic-phonological processesidentificación de locutorfonética forenseSplitsTree4procesos fonético-fonológicosThis article presents a proposal for the interpretation and organization of the phonetic characteristics of indubitable and dubitative samples using SplitsTree4 software, with the purpose of clarifying an alleged crime of bribery in the exercise of police functions to the detriment of the State. The dubitted samples were provided by the Public Prosecutor's Office and the indubitable samples were obtained by means of voice sampling; likewise, data anonymity was chosen. First, the relevant phonetic features of the samples were categorized; then, they were assigned a binary value of existence and non-existence; then, the binary information was processed by SplitsTree4 software to regroup the features according to the universe of speakers and show the compatibility between the indicated samples. Finally, the results indicate that the SplitsTree4 software complies with the ordering of phonetic-articulatory data for forensic voice identification.En este artículo se presenta una propuesta de interpretación y organización de las características fonéticas de muestras indubitadas y dubitadas a través del software SplitsTree4 con el propósito de esclarecer un presunto delito de cohecho pasivo propio en el ejercicio de la función policial en agravio del Estado. Las muestras dubitadas fueron proporcionadas por el Ministerio Público y las muestras indubitadas se obtuvieron mediante diligencias de toma de muestra de voz; asimismo, se optó por la anonimidad de los datos. Primero, se categorizaron los rasgos fonéticos pertinentes de las muestras; después, se les asignó un valor binario de existencia y no existencia; luego, la información binaria fue procesada por el software SplitsTree4 para reagrupar los rasgos de acuerdo con el universo de locutores y mostrar la compatibilidad entre las muestras indicadas. Finalmente, los resultados indican que el software SplitsTree4 cumple con el ordenamiento de los datos fonético-articulatorios para la identificación forense de voz.Academia Peruana de la Lengua2022-06-15info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdftext/xmlhttps://revistas.apl.org.pe/index.php/boletinapl/article/view/82710.46744/bapl.202201.014Boletín de la Academia Peruana de la Lengua; No 71 (2022): Enero - Junio; 431 - 461Boletín de la Academia Peruana de la Lengua; Núm. 71 (2022): Enero - Junio; 431 - 461Boletín de la Academia Peruana de la Lengua; n. 71 (2022): Enero - Junio; 431 - 4612708-26440567-6002reponame:Boletín de la Academia Peruana de la Lenguainstname:Academia Peruana de la Lenguainstacron:APLspahttps://revistas.apl.org.pe/index.php/boletinapl/article/view/827/830https://revistas.apl.org.pe/index.php/boletinapl/article/view/827/866https://revistas.apl.org.pe/index.php/boletinapl/article/view/827/884Derechos de autor 2022 Jhon Jimenez Peña, Fernando Aaron Torres Castillo, Oscar Esaul Cueva Sanchezhttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessoai:ojs.revistas.apl.org.pe:article/8272025-02-23T22:16:34Z
dc.title.none.fl_str_mv Speaker Identification from Forensic Phonetics: Application of SplitsTree4 Software for Schematic Organization of Linguistic Data
Identificación de locutor a partir de la fonética forense: aplicación del software SplitsTree4 para una organización esquemática de los datos lingüísticos
title Speaker Identification from Forensic Phonetics: Application of SplitsTree4 Software for Schematic Organization of Linguistic Data
spellingShingle Speaker Identification from Forensic Phonetics: Application of SplitsTree4 Software for Schematic Organization of Linguistic Data
Jimenez Peña, Jhon
Speaker identification
Forensic Phonetic
SplitsTree4
phonetic-phonological processes
identificación de locutor
fonética forense
SplitsTree4
procesos fonético-fonológicos
title_short Speaker Identification from Forensic Phonetics: Application of SplitsTree4 Software for Schematic Organization of Linguistic Data
title_full Speaker Identification from Forensic Phonetics: Application of SplitsTree4 Software for Schematic Organization of Linguistic Data
title_fullStr Speaker Identification from Forensic Phonetics: Application of SplitsTree4 Software for Schematic Organization of Linguistic Data
title_full_unstemmed Speaker Identification from Forensic Phonetics: Application of SplitsTree4 Software for Schematic Organization of Linguistic Data
title_sort Speaker Identification from Forensic Phonetics: Application of SplitsTree4 Software for Schematic Organization of Linguistic Data
dc.creator.none.fl_str_mv Jimenez Peña, Jhon
Torres Castillo, Fernando Aaron
Cueva Sanchez, Oscar Esaul
author Jimenez Peña, Jhon
author_facet Jimenez Peña, Jhon
Torres Castillo, Fernando Aaron
Cueva Sanchez, Oscar Esaul
author_role author
author2 Torres Castillo, Fernando Aaron
Cueva Sanchez, Oscar Esaul
author2_role author
author
dc.subject.none.fl_str_mv Speaker identification
Forensic Phonetic
SplitsTree4
phonetic-phonological processes
identificación de locutor
fonética forense
SplitsTree4
procesos fonético-fonológicos
topic Speaker identification
Forensic Phonetic
SplitsTree4
phonetic-phonological processes
identificación de locutor
fonética forense
SplitsTree4
procesos fonético-fonológicos
description This article presents a proposal for the interpretation and organization of the phonetic characteristics of indubitable and dubitative samples using SplitsTree4 software, with the purpose of clarifying an alleged crime of bribery in the exercise of police functions to the detriment of the State. The dubitted samples were provided by the Public Prosecutor's Office and the indubitable samples were obtained by means of voice sampling; likewise, data anonymity was chosen. First, the relevant phonetic features of the samples were categorized; then, they were assigned a binary value of existence and non-existence; then, the binary information was processed by SplitsTree4 software to regroup the features according to the universe of speakers and show the compatibility between the indicated samples. Finally, the results indicate that the SplitsTree4 software complies with the ordering of phonetic-articulatory data for forensic voice identification.
publishDate 2022
dc.date.none.fl_str_mv 2022-06-15
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://revistas.apl.org.pe/index.php/boletinapl/article/view/827
10.46744/bapl.202201.014
url https://revistas.apl.org.pe/index.php/boletinapl/article/view/827
identifier_str_mv 10.46744/bapl.202201.014
dc.language.none.fl_str_mv spa
language spa
dc.relation.none.fl_str_mv https://revistas.apl.org.pe/index.php/boletinapl/article/view/827/830
https://revistas.apl.org.pe/index.php/boletinapl/article/view/827/866
https://revistas.apl.org.pe/index.php/boletinapl/article/view/827/884
dc.rights.none.fl_str_mv https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
text/xml
dc.publisher.none.fl_str_mv Academia Peruana de la Lengua
publisher.none.fl_str_mv Academia Peruana de la Lengua
dc.source.none.fl_str_mv Boletín de la Academia Peruana de la Lengua; No 71 (2022): Enero - Junio; 431 - 461
Boletín de la Academia Peruana de la Lengua; Núm. 71 (2022): Enero - Junio; 431 - 461
Boletín de la Academia Peruana de la Lengua; n. 71 (2022): Enero - Junio; 431 - 461
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instacron_str APL
institution APL
reponame_str Boletín de la Academia Peruana de la Lengua
collection Boletín de la Academia Peruana de la Lengua
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