The impact of the speaker's state on speech recognition

Abstract

In order to improve the speech recognition system, we have proposed the study of the speaker's state in the pronunciation of a word, as an example. Believing that "a speaker can never utter a word in the same way twice" we have decided to study the acoustic space to identify changes in frequency of different discourses. Our goal is to add information about the state of a speaker to improve decision making in the phase of recognition. During this phase, we have based our work on Beta wavelet network as technique to model acoustic unit of speech.