Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)Gómez Cajas, Diego FerneySepúlveda Sepúlveda, Franklin AlexanderPinto Serrano, Mario Augusto2021-06-162021-06-162014-09-08http://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/pdfspaAcceso abiertoASRSpeech CodingCELP coderspacket networksVolPtransmission errorspacket lossnoisemobile networksUMTSLTEinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2