Abstract
In an effort to provide a more efficient representation of the speech signal, the application of the wavelet analysis is considered. This research presents an effective and robust method for extracting features for speech processing. Here, we proposed a novel user interface for Text Dependent Human Voice Recognition (TD-HVR) system. The proposed HVR model utilizes decimated bi-orthogonal wavelet transform (DBT) approach to extract the low level features from the given input voice signal, then the noise elimination will be done by band pass filtering followed by normalization for better quality of a voice signal and finally the formants of a train and test voices will be calculated by using the Additive Prognostication (AP) algorithm. Simulation results have been compared with the existing HVR schemes, and shown that the proposed user interface system has performed superior to the conventional HVR systems with an accuracy rate of approximately 99 %.
Highlights
In our regular day to day existences the audio flag the voice signal has gotten to be one of the real part, since it can be utilized as a one of the real instrument for communicating each other
We considered various tested and trained voice signals in real time environment i.e., recorded voice has been taken directly and converted into the format in such as way it will be read by MATLAB for the better analysis of HVR system
We proposed a novel user interface model for text dependent human voice recognition (TD-HVR) system with various voice signals in real time environment using MATLAB tool
Summary
In our regular day to day existences the audio flag the voice signal has gotten to be one of the real part, since it can be utilized as a one of the real instrument for communicating each other. Be that as it may, by utilizing changed handled because of innovative progression, used in different , for example, numerous applications these discourse preparing assumes an imperative part, for example, discourse acknowledgment, voice communication. Framework autonomy difficult accomplish, discourse acknowledgment have a tendency end up prepared, bringing about subordinate
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