Speech and Speaker Recognition System using Artificial Neural Networks and Hidden Markov Model for Automatic Machine Learning Dey Niladri Sekhar1,*, Rao P. Ram Mohan2,**, Prof. Chugh K.L.2,*** 1Academic Innovation Alliances at MLR Institute of Technology, Hyderabad, Andhra Pradesh 2MLR Institute of Technology, Hyderabad, Andhra Pradesh *niladridey@mlrinstitutions.ac.in
**rammohanrao@mlrinstitutions.ac.in
***dean@mlrinstitutions.ac.in
Online published on 27 June, 2017. Abstract Aiming towards automatic machine learning by human, a methodology for speech recognition with speaker identification based on Hidden Markov Model for security is a demand of the science. Inspiring by the same we propose a method to identify speaker and detection of speech. Within our research acquisition of speech signal, analysis of spectrogram, neutralization, extraction of features for recognition, mapping of speech using Artificial Neural networks is considered. In our investigation such a method of mapping is realized using back propagation rules of neural networks. This type of algorithm is especially suitable for huge set of input and output speech mapping. Additionally recognition of speaker using Hidden Markov Model also will be demonstrated in this paper. Top Keywords Neutralization of Speech, Speaker Identification, Speech Recognition, Spectrogram Analysis of Speech. Top |