[IJCST-V4I2P62]:Dr.V.Ajantha Devi,Ms.V.Suganya,

ABSTRACT Speech recognition has of late become a practical technology. It is used in real-world human language applications, such as information retrieval. It is the most common means of the communication because the information contains the fundamental role in conversation. From the speech or conversation, it converts an acoustic signal that is captured by a microphone or a telephone, to a set of words. A cluster of words can either be the final result or it can then apply the synthesis to pronounce into text, which implies speech-to-text. It means that, speech recognition can serve as the input to further linguistic processing to achieve speech understanding.This Paper analysis the types and algorithms of speech recognition. Keywords:- Speech Recognition; Feature Extraction; MFCC; LPC; Hidden Markov Model; Neural Network; Dynamic Time Warping.