Review on Different Approaches for Continuous Speech Recognition System

Yin Win Chit, Dr. Renu

Abstract: Speech is the most natural form of communication and interaction between humans. In computer system, the text and symbols are the most common forms of translation. Speech Recognition is an important application that enables interaction of human beings with machines. The various stages in the speech recognition system are pre-processing, segmentation of speech signal, feature extraction of speech and recognition stage. Among many speech recognition systems, continuous speech recognition system is very important and most popular system. This paper presents the basic idea of speech recognition, proposed types of speech recognition techniques, issues in speech recognition, features extraction of the speech signal with its advantages and disadvantages and various pattern matching approaches for recognizing the speech of the speakers. Now day, research in speech recognition system is motivated for ASR system with a large vocabulary that supports speaker independent operations and continuous speech in different language.

Keywords: Segmentation, Feature extraction, Pattern Matching, MFCC, LPC, ANN, HMM, PLPC, GMMs

How to Cite?: Yin Win Chit, Dr. Renu, "Review on Different Approaches for Continuous Speech Recognition System", Volume 6 Issue 2, February 2017, International Journal of Science and Research (IJSR), Pages: 2051-2055, https://www.ijsr.net/getabstract.php?paperid=ART20171274, DOI: https://dx.doi.org/10.21275/ART20171274