Robust parameterizations of Automatic Speech Recognition (ASR) in communications networks

In this paper we address the problem of Automatic Speech Recognition (ASR) when the speech signal has been transmitted over communications networks. In these conditions, the main causes of distortion in an ASR system are ambient noise, transmission errors and the encoding-decoding process [32]. In t...

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Autores:
Tipo de recurso:
Article of journal
Fecha de publicación:
2014
Institución:
Universidad Antonio Nariño
Repositorio:
Repositorio UAN
Idioma:
spa
OAI Identifier:
oai:repositorio.uan.edu.co:123456789/10433
Acceso en línea:
https://revistas.uan.edu.co/index.php/ingeuan/article/view/356
https://repositorio.uan.edu.co/handle/123456789/10433
Palabra clave:
ASR
Speech Coding
CELP coders
packet networks
VolP
transmission errors
packet loss
noise
mobile networks
UMTS
LTE
Rights
License
https://creativecommons.org/licenses/by-nc-sa/4.0
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oai_identifier_str oai:repositorio.uan.edu.co:123456789/10433
network_acronym_str UAntonioN2
network_name_str Repositorio UAN
repository_id_str
spelling 2014-09-082024-10-10T02:24:55Z2024-10-10T02:24:55Zhttps://revistas.uan.edu.co/index.php/ingeuan/article/view/356https://repositorio.uan.edu.co/handle/123456789/10433In this paper we address the problem of Automatic Speech Recognition (ASR) when the speech signal has been transmitted over communications networks. In these conditions, the main causes of distortion in an ASR system are ambient noise, transmission errors and the encoding-decoding process [32]. In the literature we are able to find multiple solutions for this problem, from different points of views; however, in this paper we will focus the analysis on solutions with robust parameterizations for the above distortions.In this paper we address the problem of Automatic Speech Recognition (ASR) when the speech signal has been transmitted over communications networks. In these conditions, the main causes of distortion in an ASR system are ambient noise, transmission errors and the encoding-decoding process [32]. In the literature we are able to find multiple solutions for this problem, from different points of views; however,in this paper we will focus the analysis on solutions with robust parameterizations for the above distortions.application/pdfspaUNIVERSIDAD ANTONIO NARIÑOhttps://revistas.uan.edu.co/index.php/ingeuan/article/view/356/297https://creativecommons.org/licenses/by-nc-sa/4.0http://purl.org/coar/access_right/c_abf2INGE@UAN - TENDENCIAS EN LA INGENIERÍA; Vol. 3 Núm. 6 (2013)2346-14462145-0935ASRSpeech CodingCELP coderspacket networksVolPtransmission errorspacket lossnoisemobile networksUMTSLTERobust parameterizations of Automatic Speech Recognition (ASR) in communications networksParametrizaciones robustas de Reconocimiento Automático de Habla (RAH) en redes de comunicacionesinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1http://purl.org/coar/version/c_970fb48d4fbd8a85Gómez Cajas, Diego FerneySepúlveda Sepúlveda, Franklin AlexanderPinto Serrano, Mario Augusto123456789/10433oai:repositorio.uan.edu.co:123456789/104332024-10-14 03:47:37.646metadata.onlyhttps://repositorio.uan.edu.coRepositorio Institucional UANalertas.repositorio@uan.edu.co
dc.title.en-US.fl_str_mv Robust parameterizations of Automatic Speech Recognition (ASR) in communications networks
dc.title.es-ES.fl_str_mv Parametrizaciones robustas de Reconocimiento Automático de Habla (RAH) en redes de comunicaciones
title Robust parameterizations of Automatic Speech Recognition (ASR) in communications networks
spellingShingle Robust parameterizations of Automatic Speech Recognition (ASR) in communications networks
ASR
Speech Coding
CELP coders
packet networks
VolP
transmission errors
packet loss
noise
mobile networks
UMTS
LTE
title_short Robust parameterizations of Automatic Speech Recognition (ASR) in communications networks
title_full Robust parameterizations of Automatic Speech Recognition (ASR) in communications networks
title_fullStr Robust parameterizations of Automatic Speech Recognition (ASR) in communications networks
title_full_unstemmed Robust parameterizations of Automatic Speech Recognition (ASR) in communications networks
title_sort Robust parameterizations of Automatic Speech Recognition (ASR) in communications networks
dc.subject.en-US.fl_str_mv ASR
Speech Coding
CELP coders
packet networks
VolP
transmission errors
packet loss
noise
mobile networks
UMTS
LTE
topic ASR
Speech Coding
CELP coders
packet networks
VolP
transmission errors
packet loss
noise
mobile networks
UMTS
LTE
description In this paper we address the problem of Automatic Speech Recognition (ASR) when the speech signal has been transmitted over communications networks. In these conditions, the main causes of distortion in an ASR system are ambient noise, transmission errors and the encoding-decoding process [32]. In the literature we are able to find multiple solutions for this problem, from different points of views; however, in this paper we will focus the analysis on solutions with robust parameterizations for the above distortions.
publishDate 2014
dc.date.accessioned.none.fl_str_mv 2024-10-10T02:24:55Z
dc.date.available.none.fl_str_mv 2024-10-10T02:24:55Z
dc.date.none.fl_str_mv 2014-09-08
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
dc.type.coar.fl_str_mv http://purl.org/coar/resource_type/c_2df8fbb1
dc.type.coar.spa.fl_str_mv http://purl.org/coar/resource_type/c_6501
dc.type.coarversion.none.fl_str_mv http://purl.org/coar/version/c_970fb48d4fbd8a85
format http://purl.org/coar/resource_type/c_6501
status_str publishedVersion
dc.identifier.none.fl_str_mv https://revistas.uan.edu.co/index.php/ingeuan/article/view/356
dc.identifier.uri.none.fl_str_mv https://repositorio.uan.edu.co/handle/123456789/10433
url https://revistas.uan.edu.co/index.php/ingeuan/article/view/356
https://repositorio.uan.edu.co/handle/123456789/10433
dc.language.none.fl_str_mv spa
language spa
dc.relation.none.fl_str_mv https://revistas.uan.edu.co/index.php/ingeuan/article/view/356/297
dc.rights.es-ES.fl_str_mv https://creativecommons.org/licenses/by-nc-sa/4.0
dc.rights.coar.spa.fl_str_mv http://purl.org/coar/access_right/c_abf2
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/4.0
http://purl.org/coar/access_right/c_abf2
dc.format.none.fl_str_mv application/pdf
dc.publisher.es-ES.fl_str_mv UNIVERSIDAD ANTONIO NARIÑO
dc.source.es-ES.fl_str_mv INGE@UAN - TENDENCIAS EN LA INGENIERÍA; Vol. 3 Núm. 6 (2013)
dc.source.none.fl_str_mv 2346-1446
2145-0935
institution Universidad Antonio Nariño
repository.name.fl_str_mv Repositorio Institucional UAN
repository.mail.fl_str_mv alertas.repositorio@uan.edu.co
_version_ 1814300291046047744

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