Feature Extraction and Classification Techniques for Speech Recognition: A Review
Nidhi Desai, Kinnal Dhameliya, Vijayendra Desai · 2013
Abstract — Speech is the most natural form of human communication and speech processing has been one of the most inspiring expanses of signal processing. Speech recognition is the process of automatically recognizing the spoken words of person based on information in speech signal. Automatic Speech Recognition (ASR) system takes a human speech utterance as an input and requites a string of words as output. This paper introduce a brief survey on Automatic Speech Recognition and discuss the major subjects and improvements made in the past 60 years of research, that provides technological outlook and a respect of the fundamental achievement that has been accomplished in this important area of speech communication. Definition of various types of speech classes, feature extraction techniques, speech classifiers and performance evaluation are issues that requires attention in designing of speech recognition system. The objective of this review paper is to summarize some of the well known methods used in several stage of speech recognition system.