A VoIP call classifier for carrier grade based on Support Vector Machines
Currently, VoIP company technicians conduct tests to classify call quality as good or bad. Even though, there are automatic platforms that make test VoIP calls to classify them, they do not perform audio processing to detect False Answer Supervision (FAS), which is a common and undesirable feature o...
- Autores:
-
Wilches-Cortina, Juan Ricardo
Cardona-Peña, Jairo Alberto
Tello-Portillo, Juan Pablo
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2017
- Institución:
- Universidad Nacional de Colombia
- Repositorio:
- Universidad Nacional de Colombia
- Idioma:
- spa
- OAI Identifier:
- oai:repositorio.unal.edu.co:unal/60355
- Acceso en línea:
- https://repositorio.unal.edu.co/handle/unal/60355
http://bdigital.unal.edu.co/58687/
- Palabra clave:
- 62 Ingeniería y operaciones afines / Engineering
Audio analysis
pattern recognition
SVM
VoIP
Análisis de audio
reconocimiento de patrones
SVM, VoIP
- Rights
- openAccess
- License
- Atribución-NoComercial 4.0 Internacional
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Atribución-NoComercial 4.0 InternacionalDerechos reservados - Universidad Nacional de Colombiahttp://creativecommons.org/licenses/by-nc/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Wilches-Cortina, Juan Ricardo13779824-c82b-4c45-a334-b9f58e270e3b300Cardona-Peña, Jairo Alberto50a036a5-8ced-4edb-b8e9-64cd1167b8ca300Tello-Portillo, Juan Pabloe79adcbb-73c4-4c53-ab09-44de46a2b7693002019-07-02T18:07:45Z2019-07-02T18:07:45Z2017-07-01ISSN: 2346-2183https://repositorio.unal.edu.co/handle/unal/60355http://bdigital.unal.edu.co/58687/Currently, VoIP company technicians conduct tests to classify call quality as good or bad. Even though, there are automatic platforms that make test VoIP calls to classify them, they do not perform audio processing to detect False Answer Supervision (FAS), which is a common and undesirable feature of VoIP calls. In this paper, a Vector Support Machine (SVM) along with several functions used in voice recognition were implemented to emulate the human decision procedure (the task of audio classification and analysis performed by technicians). The experiments were based on the comparison between the results obtained from the current classification methods and those derived from the SVM. A 10-fold cross-validation was used to evaluate the system performance. The tests results from the proposed methodology show a better percentage of successful classification compared to a selected automatic platform called CheckMyRoutes.Actualmente, los técnicos de compañías de VoIP realizan pruebas y clasifican las llamadas como buenas o malas. Asimismo, existen plataformas automáticas que realizan llamadas VoIP para clasificarlas, sin realizar procesamiento de audio; proceso necesario cuando se pretende detectar el False Answer Supervision (FAS), una característica común e indeseable de las llamadas VoIP. Se implementó una Máquina de Vectores de Soporte (SVM) junto con varias funciones utilizadas en el reconocimiento de voz para emular la toma de decisiones de los humanos (tarea de clasificación y análisis de audio realizada por los técnicos). Los experimentos se basaron en la comparación entre los resultados obtenidos de los métodos de clasificación actuales y los derivados de la SVM. Se utilizó una validación cruzada de diez veces para evaluar el rendimiento del sistema. Derivado de los resultados, la metodología propuesta muestra un mejor porcentaje de clasificación exitosa comparado con una plataforma automática llamada CheckMyRoutes.application/pdfspaUniversidad Nacional de Colombia (Sede Medellín). Facultad de Minas.https://revistas.unal.edu.co/index.php/dyna/article/view/60975Universidad Nacional de Colombia Revistas electrónicas UN DynaDynaWilches-Cortina, Juan Ricardo and Cardona-Peña, Jairo Alberto and Tello-Portillo, Juan Pablo (2017) A VoIP call classifier for carrier grade based on Support Vector Machines. DYNA, 84 (202). pp. 75-83. ISSN 2346-218362 Ingeniería y operaciones afines / EngineeringAudio analysispattern recognitionSVMVoIPAnálisis de audioreconocimiento de patronesSVM, VoIPA VoIP call classifier for carrier grade based on Support Vector MachinesArtículo de revistainfo: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_970fb48d4fbd8a85Texthttp://purl.org/redcol/resource_type/ARTORIGINAL60975-349734-1-PB.pdfapplication/pdf1088499https://repositorio.unal.edu.co/bitstream/unal/60355/1/60975-349734-1-PB.pdf57f51fce13b22a9e1ab6f42e0567ac96MD51THUMBNAIL60975-349734-1-PB.pdf.jpg60975-349734-1-PB.pdf.jpgGenerated Thumbnailimage/jpeg9182https://repositorio.unal.edu.co/bitstream/unal/60355/2/60975-349734-1-PB.pdf.jpg70feea52904d6de2696349afc4b19f22MD52unal/60355oai:repositorio.unal.edu.co:unal/603552023-04-06 23:05:36.785Repositorio Institucional Universidad Nacional de Colombiarepositorio_nal@unal.edu.co |
| dc.title.spa.fl_str_mv |
A VoIP call classifier for carrier grade based on Support Vector Machines |
| title |
A VoIP call classifier for carrier grade based on Support Vector Machines |
| spellingShingle |
A VoIP call classifier for carrier grade based on Support Vector Machines 62 Ingeniería y operaciones afines / Engineering Audio analysis pattern recognition SVM VoIP Análisis de audio reconocimiento de patrones SVM, VoIP |
| title_short |
A VoIP call classifier for carrier grade based on Support Vector Machines |
| title_full |
A VoIP call classifier for carrier grade based on Support Vector Machines |
| title_fullStr |
A VoIP call classifier for carrier grade based on Support Vector Machines |
| title_full_unstemmed |
A VoIP call classifier for carrier grade based on Support Vector Machines |
| title_sort |
A VoIP call classifier for carrier grade based on Support Vector Machines |
| dc.creator.fl_str_mv |
Wilches-Cortina, Juan Ricardo Cardona-Peña, Jairo Alberto Tello-Portillo, Juan Pablo |
| dc.contributor.author.spa.fl_str_mv |
Wilches-Cortina, Juan Ricardo Cardona-Peña, Jairo Alberto Tello-Portillo, Juan Pablo |
| dc.subject.ddc.spa.fl_str_mv |
62 Ingeniería y operaciones afines / Engineering |
| topic |
62 Ingeniería y operaciones afines / Engineering Audio analysis pattern recognition SVM VoIP Análisis de audio reconocimiento de patrones SVM, VoIP |
| dc.subject.proposal.spa.fl_str_mv |
Audio analysis pattern recognition SVM VoIP Análisis de audio reconocimiento de patrones SVM, VoIP |
| description |
Currently, VoIP company technicians conduct tests to classify call quality as good or bad. Even though, there are automatic platforms that make test VoIP calls to classify them, they do not perform audio processing to detect False Answer Supervision (FAS), which is a common and undesirable feature of VoIP calls. In this paper, a Vector Support Machine (SVM) along with several functions used in voice recognition were implemented to emulate the human decision procedure (the task of audio classification and analysis performed by technicians). The experiments were based on the comparison between the results obtained from the current classification methods and those derived from the SVM. A 10-fold cross-validation was used to evaluate the system performance. The tests results from the proposed methodology show a better percentage of successful classification compared to a selected automatic platform called CheckMyRoutes. |
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2017 |
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2017-07-01 |
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2019-07-02T18:07:45Z |
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2019-07-02T18:07:45Z |
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Artículo de revista |
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http://purl.org/coar/resource_type/c_2df8fbb1 |
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Text |
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ISSN: 2346-2183 |
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https://repositorio.unal.edu.co/handle/unal/60355 |
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http://bdigital.unal.edu.co/58687/ |
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ISSN: 2346-2183 |
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spa |
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https://revistas.unal.edu.co/index.php/dyna/article/view/60975 |
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Universidad Nacional de Colombia Revistas electrónicas UN Dyna Dyna |
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Wilches-Cortina, Juan Ricardo and Cardona-Peña, Jairo Alberto and Tello-Portillo, Juan Pablo (2017) A VoIP call classifier for carrier grade based on Support Vector Machines. DYNA, 84 (202). pp. 75-83. ISSN 2346-2183 |
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Derechos reservados - Universidad Nacional de Colombia |
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Atribución-NoComercial 4.0 Internacional |
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info:eu-repo/semantics/openAccess |
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