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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Detalles Bibliográficos
Autores principales:	Gómez Cajas, Diego Ferney, Sepúlveda Sepúlveda, Franklin Alexander, Pinto Serrano, Mario Augusto
Formato:	info:eu-repo/semantics/publishedVersion
Lenguaje:	spa
Publicado:	Universidad Antonio Nariño 2021
Materias:	ASR Speech Coding CELP coders packet networks VolP transmission errors packet loss noise mobile networks UMTS LTE
Acceso en línea:	http://revistas.uan.edu.co/index.php/ingeuan/article/view/356 http://repositorio.uan.edu.co/handle/123456789/3928
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Sumario:	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.