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)
| Summary: | 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. |
|---|