Modelado de la señal en reconocimiento de habla ruidosa

Abstract

Conventional modelling techniques of speech suffer a very big performance degradation in adverse noisy environments. So, it is necessary to research for more robust representations of speech signal. This paper presents new models that have succeeded in adverse environments. They are hybrid models of the classical parametrizations techniques used so far that have demonstrated being very useful in order to obtain good results in different noisy environments. In order to prove the their performance we have used white and machine noise in our experiments.