Speech Recognition using Deep Neural Network Neural (DNN) and Deep Belief Network (DBN)

Abstract

It is a difficult task of continuous automatic speech recognition, translating of spoken words into text due to the excessive viability in speech signals. In recent years speech recognition has been accomplishing pinnacle of success however it still has few limitations to overcome. Deep learning also known as representation learning or sometimes referred as unsupervised feature learning, is a subset of machine learning. Deep learning is becoming a conventional technology for speech recognition and has efficiently replaced Gaussian mixtures for speech recognition on a global scale. The predominant goal of this undertaking is to apply deep learning algorithms, together with Deep Neural Networks (DNN) and Deep Belief Networks (DBN), for automatic non-stop speech recognition.