Investigating fuzzy methods for multilingual speaker identification
Autor(a) principal: | |
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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 |
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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. |
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Universidade Federal do Rio Grande do Norte |
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PROGRAMA DE PÓS-GRADUAÇÃO EM SISTEMAS E COMPUTAÇÃO |
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UFRN |
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Universidade Federal do Rio Grande do Norte |
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