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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Bibliographic Details
Main Authors:	Gómez Cajas, Diego Ferney, Sepúlveda Sepúlveda, Franklin Alexander, Pinto Serrano, Mario Augusto
Format:	info:eu-repo/semantics/article
Language:	spa
Published:	UNIVERSIDAD ANTONIO NARIÑO 2014
Subjects:	ASR Speech Coding CELP coders packet networks VolP transmission errors packet loss noise mobile networks UMTS LTE
Online Access:	https://revistas.uan.edu.co/index.php/ingeuan/article/view/356 https://repositorio.uan.edu.co/handle/123456789/10433
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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.