Investigating fuzzy methods for multilingual speaker identification

Detalhes bibliográficos
Autor(a) principal: Lima, Thales Aguiar de
Data de Publicação: 2020
Tipo de documento: Dissertação
Idioma: por
Título da fonte: Repositório Institucional da UFRN
Texto Completo: https://repositorio.ufrn.br/handle/123456789/30245
Resumo: Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - CAPES
id UFRN_b6d9449ac19d6c752b5e25fd3311327d
oai_identifier_str oai:https://repositorio.ufrn.br:123456789/30245
network_acronym_str UFRN
network_name_str Repositório Institucional da UFRN
repository_id_str
spelling Lima, Thales Aguiar deSantin, Altair OlivoPereira, Mônica MagalhãesAbreu, Marjory Cristiany da Costa2020-10-05T17:14:37Z2020-10-05T17:14:37Z2020-08-27LIMA, Thales Aguiar de. Investigating fuzzy methods for multilingual speaker identification. 2020. 66f. Dissertação (Mestrado em Sistemas e Computação) - Centro de Ciências Exatas e da Terra, Universidade Federal do Rio Grande do Norte, Natal, 2020.https://repositorio.ufrn.br/handle/123456789/30245Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - CAPESSpeech is a crucial ability for humans to interact and communicate. Speech-based technologies are becoming more popular with speech interfaces, real-time translation, and budget healthcare diagnosis. Besides, the use of voice for system identification is an important and relevant topic. There are several ways of doing it, but most are dependent on the language the user speaks. However, if the idea is to create an all inclusive and reliable system that uses speech as its input, we must take into account that people can and will speak different languages and accents. This research evaluates closed-set text-independent speaker identification systems on a multilingual setup, including both fuzzy and crisp models. Our experiments are performed using three widely spoken languages which are Portuguese, English, and Chinese. Then, we extracted 13-MFCCs, along with log-Energy and its respective delta and delta-delta from signals to use as our feature vector. We adopted four classifiers: Fuzzy C-Means, Fuzzy k-Nearest Neighbours, k-Nearest Neighbours, and Support Vector Machines. Initial tests indicated the systems have certain robustness on multiple languages. Where results with more languages decreases our accuracy; however our investigation suggests these impacts are from number of classes.Universidade Federal do Rio Grande do NortePROGRAMA DE PÓS-GRADUAÇÃO EM SISTEMAS E COMPUTAÇÃOUFRNBrasilSpeaker identificationSpeaker recognitionFuzzySignal processingMultilingual speech systemsPortugueseEnglishMandarinInvestigating fuzzy methods for multilingual speaker identificationinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisinfo:eu-repo/semantics/openAccessporreponame:Repositório Institucional da UFRNinstname:Universidade Federal do Rio Grande do Norte (UFRN)instacron:UFRNORIGINALInvestigatingfuzzymethods_Lima_2020.pdfapplication/pdf3175503https://repositorio.ufrn.br/bitstream/123456789/30245/1/Investigatingfuzzymethods_Lima_2020.pdfda07fed4694b9d26e33e23e450fe0617MD51TEXTInvestigatingfuzzymethods_Lima_2020.pdf.txtInvestigatingfuzzymethods_Lima_2020.pdf.txtExtracted texttext/plain131052https://repositorio.ufrn.br/bitstream/123456789/30245/2/Investigatingfuzzymethods_Lima_2020.pdf.txt03fa682bff005eb311da68df34d0f81cMD52THUMBNAILInvestigatingfuzzymethods_Lima_2020.pdf.jpgInvestigatingfuzzymethods_Lima_2020.pdf.jpgGenerated Thumbnailimage/jpeg1282https://repositorio.ufrn.br/bitstream/123456789/30245/3/Investigatingfuzzymethods_Lima_2020.pdf.jpg78748210a97446d28f374475e56e2d88MD53123456789/302452020-10-11 04:38:57.241oai:https://repositorio.ufrn.br:123456789/30245Repositório de PublicaçõesPUBhttp://repositorio.ufrn.br/oai/opendoar:2020-10-11T07:38:57Repositório Institucional da UFRN - Universidade Federal do Rio Grande do Norte (UFRN)false
dc.title.pt_BR.fl_str_mv Investigating fuzzy methods for multilingual speaker identification
title Investigating fuzzy methods for multilingual speaker identification
spellingShingle Investigating fuzzy methods for multilingual speaker identification
Lima, Thales Aguiar de
Speaker identification
Speaker recognition
Fuzzy
Signal processing
Multilingual speech systems
Portuguese
English
Mandarin
title_short Investigating fuzzy methods for multilingual speaker identification
title_full Investigating fuzzy methods for multilingual speaker identification
title_fullStr Investigating fuzzy methods for multilingual speaker identification
title_full_unstemmed Investigating fuzzy methods for multilingual speaker identification
title_sort Investigating fuzzy methods for multilingual speaker identification
author Lima, Thales Aguiar de
author_facet Lima, Thales Aguiar de
author_role author
dc.contributor.authorID.pt_BR.fl_str_mv
dc.contributor.advisorID.pt_BR.fl_str_mv
dc.contributor.referees1.none.fl_str_mv Santin, Altair Olivo
dc.contributor.referees1ID.pt_BR.fl_str_mv
dc.contributor.referees2.none.fl_str_mv Pereira, Mônica Magalhães
dc.contributor.referees2ID.pt_BR.fl_str_mv
dc.contributor.author.fl_str_mv Lima, Thales Aguiar de
dc.contributor.advisor1.fl_str_mv Abreu, Marjory Cristiany da Costa
contributor_str_mv Abreu, Marjory Cristiany da Costa
dc.subject.por.fl_str_mv Speaker identification
Speaker recognition
Fuzzy
Signal processing
Multilingual speech systems
Portuguese
English
Mandarin
topic Speaker identification
Speaker recognition
Fuzzy
Signal processing
Multilingual speech systems
Portuguese
English
Mandarin
description Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - CAPES
publishDate 2020
dc.date.accessioned.fl_str_mv 2020-10-05T17:14:37Z
dc.date.available.fl_str_mv 2020-10-05T17:14:37Z
dc.date.issued.fl_str_mv 2020-08-27
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.citation.fl_str_mv LIMA, Thales Aguiar de. Investigating fuzzy methods for multilingual speaker identification. 2020. 66f. Dissertação (Mestrado em Sistemas e Computação) - Centro de Ciências Exatas e da Terra, Universidade Federal do Rio Grande do Norte, Natal, 2020.
dc.identifier.uri.fl_str_mv https://repositorio.ufrn.br/handle/123456789/30245
identifier_str_mv LIMA, Thales Aguiar de. Investigating fuzzy methods for multilingual speaker identification. 2020. 66f. Dissertação (Mestrado em Sistemas e Computação) - Centro de Ciências Exatas e da Terra, Universidade Federal do Rio Grande do Norte, Natal, 2020.
url https://repositorio.ufrn.br/handle/123456789/30245
dc.language.iso.fl_str_mv por
language por
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Universidade Federal do Rio Grande do Norte
dc.publisher.program.fl_str_mv PROGRAMA DE PÓS-GRADUAÇÃO EM SISTEMAS E COMPUTAÇÃO
dc.publisher.initials.fl_str_mv UFRN
dc.publisher.country.fl_str_mv Brasil
publisher.none.fl_str_mv Universidade Federal do Rio Grande do Norte
dc.source.none.fl_str_mv reponame:Repositório Institucional da UFRN
instname:Universidade Federal do Rio Grande do Norte (UFRN)
instacron:UFRN
instname_str Universidade Federal do Rio Grande do Norte (UFRN)
instacron_str UFRN
institution UFRN
reponame_str Repositório Institucional da UFRN
collection Repositório Institucional da UFRN
bitstream.url.fl_str_mv https://repositorio.ufrn.br/bitstream/123456789/30245/1/Investigatingfuzzymethods_Lima_2020.pdf
https://repositorio.ufrn.br/bitstream/123456789/30245/2/Investigatingfuzzymethods_Lima_2020.pdf.txt
https://repositorio.ufrn.br/bitstream/123456789/30245/3/Investigatingfuzzymethods_Lima_2020.pdf.jpg
bitstream.checksum.fl_str_mv da07fed4694b9d26e33e23e450fe0617
03fa682bff005eb311da68df34d0f81c
78748210a97446d28f374475e56e2d88
bitstream.checksumAlgorithm.fl_str_mv MD5
MD5
MD5
repository.name.fl_str_mv Repositório Institucional da UFRN - Universidade Federal do Rio Grande do Norte (UFRN)
repository.mail.fl_str_mv
_version_ 1802117916783542272