AbstractsComputer Science

A Hybrid Architecture for Recognising Speech Signals in Malayalam

by Sunny; Dr. David Sonia

Institution: Cochin University of Science and Technology
Department: Computer Science
Year: 2013
Keywords: Automatic Speech Recognition; Speech Recognition Systems; Spectral Feature Extraction; Speech Recognition System using LPC; Speech Recognition System using MFCC
Record ID: 1216896
Full text PDF: http://dyuthi.cusat.ac.in/purl/4697


Speech is the primary, most prominent and convenient means of communication in audible language. Through speech, people can express their thoughts, feelings or perceptions by the articulation of words. Human speech is a complex signal which is non stationary in nature. It consists of immensely rich information about the words spoken, accent, attitude of the speaker, expression, intention, sex, emotion as well as style. The main objective of Automatic Speech Recognition (ASR) is to identify whatever people speak by means of computer algorithms. This enables people to communicate with a computer in a natural spoken language. Automatic recognition of speech by machines has been one of the most exciting, significant and challenging areas of research in the field of signal processing over the past five to six decades. Despite the developments and intensive research done in this area, the performance of ASR is still lower than that of speech recognition by humans and is yet to achieve a completely reliable performance level. The main objective of this thesis is to develop an efficient speech recognition system for recognising speaker independent isolated words in Malayalam. Cochin University of Science and Technology