Automatic speech recognition: a study and performance evaluation on neural networks and hidden markov models
Autor(a) principal: | |
---|---|
Data de Publicação: | 1999 |
Outros Autores: | , |
Tipo de documento: | Relatório |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UFRJ |
Texto Completo: | http://hdl.handle.net/11422/2652 |
Resumo: | The main goal in this research is to find out possible ways to built hybrid systems, based on neural network (NN) and hidden M;arkov (HMM) models, for the task of automatic speech recognition. The investigation that has been conducted covers different types of neural network and hidden Markov models, and the combination of them into some hybrid models. The neural networks used were basically MLP and Radial Basis models. The hidden Markov models were basically different combinations of states and mixtures of the Continuous Density type of the Bakis model. A reduced set with ten words spoken in the Portuguese idiom, from Brazil, was carefully chosen to provide some pronounce and phonetic confusion. The results already obtained showed very positive, pointing toward to a high potentiality of such hybrid models. |
id |
UFRJ_80605d0a0a5f5c73aabccfcd0d5b6242 |
---|---|
oai_identifier_str |
oai:pantheon.ufrj.br:11422/2652 |
network_acronym_str |
UFRJ |
network_name_str |
Repositório Institucional da UFRJ |
repository_id_str |
|
spelling |
Automatic speech recognition: a study and performance evaluation on neural networks and hidden markov modelsReconhecimento de vozRedes neurais (Ciência da computação)CNPQ::CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAOThe main goal in this research is to find out possible ways to built hybrid systems, based on neural network (NN) and hidden M;arkov (HMM) models, for the task of automatic speech recognition. The investigation that has been conducted covers different types of neural network and hidden Markov models, and the combination of them into some hybrid models. The neural networks used were basically MLP and Radial Basis models. The hidden Markov models were basically different combinations of states and mixtures of the Continuous Density type of the Bakis model. A reduced set with ten words spoken in the Portuguese idiom, from Brazil, was carefully chosen to provide some pronounce and phonetic confusion. The results already obtained showed very positive, pointing toward to a high potentiality of such hybrid models.BrasilInstituto Tércio Pacitti de Aplicações e Pesquisas Computacionais2017-08-15T13:44:49Z2023-12-21T03:00:52Z1999-12-31info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/reportTHOMÉ, A. G.; SANTOS, S. B. dos; DINIZ, S. S. Automatic speech recognition: a study and performance evaluation on neural networks and hidden markov models. Rio de Janeiro: NCE, UFRJ, 1999. 6 p. (Relatório Técnico, 19/99)http://hdl.handle.net/11422/2652engRelatório Técnico NCEThomé, Antonio Carlos GaySantos, Sidney B. dosDiniz, Suelaine Sinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFRJinstname:Universidade Federal do Rio de Janeiro (UFRJ)instacron:UFRJ2023-12-21T03:00:52Zoai:pantheon.ufrj.br:11422/2652Repositório InstitucionalPUBhttp://www.pantheon.ufrj.br/oai/requestpantheon@sibi.ufrj.bropendoar:2023-12-21T03:00:52Repositório Institucional da UFRJ - Universidade Federal do Rio de Janeiro (UFRJ)false |
dc.title.none.fl_str_mv |
Automatic speech recognition: a study and performance evaluation on neural networks and hidden markov models |
title |
Automatic speech recognition: a study and performance evaluation on neural networks and hidden markov models |
spellingShingle |
Automatic speech recognition: a study and performance evaluation on neural networks and hidden markov models Thomé, Antonio Carlos Gay Reconhecimento de voz Redes neurais (Ciência da computação) CNPQ::CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO |
title_short |
Automatic speech recognition: a study and performance evaluation on neural networks and hidden markov models |
title_full |
Automatic speech recognition: a study and performance evaluation on neural networks and hidden markov models |
title_fullStr |
Automatic speech recognition: a study and performance evaluation on neural networks and hidden markov models |
title_full_unstemmed |
Automatic speech recognition: a study and performance evaluation on neural networks and hidden markov models |
title_sort |
Automatic speech recognition: a study and performance evaluation on neural networks and hidden markov models |
author |
Thomé, Antonio Carlos Gay |
author_facet |
Thomé, Antonio Carlos Gay Santos, Sidney B. dos Diniz, Suelaine S |
author_role |
author |
author2 |
Santos, Sidney B. dos Diniz, Suelaine S |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Thomé, Antonio Carlos Gay Santos, Sidney B. dos Diniz, Suelaine S |
dc.subject.por.fl_str_mv |
Reconhecimento de voz Redes neurais (Ciência da computação) CNPQ::CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO |
topic |
Reconhecimento de voz Redes neurais (Ciência da computação) CNPQ::CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO |
description |
The main goal in this research is to find out possible ways to built hybrid systems, based on neural network (NN) and hidden M;arkov (HMM) models, for the task of automatic speech recognition. The investigation that has been conducted covers different types of neural network and hidden Markov models, and the combination of them into some hybrid models. The neural networks used were basically MLP and Radial Basis models. The hidden Markov models were basically different combinations of states and mixtures of the Continuous Density type of the Bakis model. A reduced set with ten words spoken in the Portuguese idiom, from Brazil, was carefully chosen to provide some pronounce and phonetic confusion. The results already obtained showed very positive, pointing toward to a high potentiality of such hybrid models. |
publishDate |
1999 |
dc.date.none.fl_str_mv |
1999-12-31 2017-08-15T13:44:49Z 2023-12-21T03:00:52Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/report |
format |
report |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
THOMÉ, A. G.; SANTOS, S. B. dos; DINIZ, S. S. Automatic speech recognition: a study and performance evaluation on neural networks and hidden markov models. Rio de Janeiro: NCE, UFRJ, 1999. 6 p. (Relatório Técnico, 19/99) http://hdl.handle.net/11422/2652 |
identifier_str_mv |
THOMÉ, A. G.; SANTOS, S. B. dos; DINIZ, S. S. Automatic speech recognition: a study and performance evaluation on neural networks and hidden markov models. Rio de Janeiro: NCE, UFRJ, 1999. 6 p. (Relatório Técnico, 19/99) |
url |
http://hdl.handle.net/11422/2652 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Relatório Técnico NCE |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.publisher.none.fl_str_mv |
Brasil Instituto Tércio Pacitti de Aplicações e Pesquisas Computacionais |
publisher.none.fl_str_mv |
Brasil Instituto Tércio Pacitti de Aplicações e Pesquisas Computacionais |
dc.source.none.fl_str_mv |
reponame:Repositório Institucional da UFRJ instname:Universidade Federal do Rio de Janeiro (UFRJ) instacron:UFRJ |
instname_str |
Universidade Federal do Rio de Janeiro (UFRJ) |
instacron_str |
UFRJ |
institution |
UFRJ |
reponame_str |
Repositório Institucional da UFRJ |
collection |
Repositório Institucional da UFRJ |
repository.name.fl_str_mv |
Repositório Institucional da UFRJ - Universidade Federal do Rio de Janeiro (UFRJ) |
repository.mail.fl_str_mv |
pantheon@sibi.ufrj.br |
_version_ |
1815455965207592960 |