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...
- Autores:
-
Gómez Cajas, Diego Ferney
Sepúlveda Sepúlveda, Franklin Alexander
Pinto Serrano, Mario Augusto
- 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:123456789/3928
- Acceso en línea:
- http://revistas.uan.edu.co/index.php/ingeuan/article/view/356
http://repositorio.uan.edu.co/handle/123456789/3928
- Palabra clave:
- ASR
Speech Coding
CELP coders
packet networks
VolP
transmission errors
packet loss
noise
mobile networks
UMTS
LTE
- Rights
- openAccess
- License
- Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
id |
UAntonioN2_3c05480a05835cc1ffe921ea17903520 |
---|---|
oai_identifier_str |
oai:repositorio.uan.edu.co:123456789/3928 |
network_acronym_str |
UAntonioN2 |
network_name_str |
Repositorio UAN |
repository_id_str |
|
spelling |
Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)Acceso abiertohttps://creativecommons.org/licenses/by-nc-sa/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Gómez Cajas, Diego FerneySepúlveda Sepúlveda, Franklin AlexanderPinto Serrano, Mario Augusto2021-06-16T13:53:06Z2021-06-16T13:53:06Z2014-09-08http://revistas.uan.edu.co/index.php/ingeuan/article/view/356http://repositorio.uan.edu.co/handle/123456789/3928In 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 Nariñohttp://revistas.uan.edu.co/index.php/ingeuan/article/view/356/2972346-14462145-0935INGE@UAN - TENDENCIAS EN LA INGENIERÍA; Vol. 3 Núm. 6 (2013)ASRSpeech 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/publishedVersionhttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1info:eu-repo/semantics/articlehttp://purl.org/coar/version/c_970fb48d4fbd8a85123456789/3928oai:repositorio.uan.edu.co:123456789/39282024-10-09 23:17:26.163https://creativecommons.org/licenses/by-nc-sa/4.0/Acceso abiertometadata.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.creator.fl_str_mv |
Gómez Cajas, Diego Ferney Sepúlveda Sepúlveda, Franklin Alexander Pinto Serrano, Mario Augusto |
dc.contributor.author.spa.fl_str_mv |
Gómez Cajas, Diego Ferney Sepúlveda Sepúlveda, Franklin Alexander Pinto Serrano, Mario Augusto |
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.issued.spa.fl_str_mv |
2014-09-08 |
dc.date.accessioned.none.fl_str_mv |
2021-06-16T13:53:06Z |
dc.date.available.none.fl_str_mv |
2021-06-16T13:53:06Z |
dc.type.coar.fl_str_mv |
http://purl.org/coar/resource_type/c_2df8fbb1 |
dc.type.version.spa.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.coar.spa.fl_str_mv |
http://purl.org/coar/resource_type/c_6501 |
dc.type.driver.spa.fl_str_mv |
info:eu-repo/semantics/article |
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 |
http://revistas.uan.edu.co/index.php/ingeuan/article/view/356 |
dc.identifier.uri.none.fl_str_mv |
http://repositorio.uan.edu.co/handle/123456789/3928 |
url |
http://revistas.uan.edu.co/index.php/ingeuan/article/view/356 http://repositorio.uan.edu.co/handle/123456789/3928 |
dc.language.iso.spa.fl_str_mv |
spa |
language |
spa |
dc.relation.none.fl_str_mv |
http://revistas.uan.edu.co/index.php/ingeuan/article/view/356/297 |
dc.rights.none.fl_str_mv |
Acceso abierto |
dc.rights.license.spa.fl_str_mv |
Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) |
dc.rights.uri.spa.fl_str_mv |
https://creativecommons.org/licenses/by-nc-sa/4.0/ |
dc.rights.accessrights.spa.fl_str_mv |
info:eu-repo/semantics/openAccess |
dc.rights.coar.spa.fl_str_mv |
http://purl.org/coar/access_right/c_abf2 |
rights_invalid_str_mv |
Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) Acceso abierto https://creativecommons.org/licenses/by-nc-sa/4.0/ http://purl.org/coar/access_right/c_abf2 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.spa.fl_str_mv |
Universidad Antonio Nariño |
dc.source.none.fl_str_mv |
2346-1446 2145-0935 |
dc.source.es-ES.fl_str_mv |
INGE@UAN - TENDENCIAS EN LA INGENIERÍA; Vol. 3 Núm. 6 (2013) |
institution |
Universidad Antonio Nariño |
repository.name.fl_str_mv |
Repositorio Institucional UAN |
repository.mail.fl_str_mv |
alertas.repositorio@uan.edu.co |
_version_ |
1814300421947129856 |