Speech Recognition Using Artificial Neural Network A Review
Speech is the most efficient mode of communication between peoples. This, being the best way of communication, could also be a useful interface to communicate with machines. Therefore the popularity of automatic speech recognition system has been greatly increased. There are different approaches to speech recognition like Hidden Markov Model (HMM) Dynamic Time Warping (DTW) Vector Quantization (VQ) etc. This paper provides a comprehensive study of use of Artificial Neural Networks (ANN) in speech recognition. The paper focuses on the different neural network related methods that can be used for speech recognition and compares their advantages and disadvantages. The conclusion is given on the most suitable method. Keywords Neural Networks, Training Algorithm, Speech Recognition, Artificial Intelligence, Feature Extraction, Pattern Recognition, LPC, MFCC, Perceptron, Feedforward Neural Networks, etc.