AUTO-SPEECH CASTING SYSTEM FOR PROGRAMING IDE PLATFROM

Abstract

Speech Recognition is the process of automatically recognizing a certain word spoken by a particular
speaker based on individual information included in speech waves. This technique makes it possible to use the speaker‟s
voice to verify his/her identity and provide controlled access to services like voice based biometrics, database access
services, voice based dialing, voice mail and remote access to computers. Voice can be a powerful tool for use in human
computer interaction because it is the fundamental means of human communication. With the rapid growth of wireless
communications, the need for voice recognition techniques has increased greatly. Portability and wearability, which are
necessary items for being computationally powerful computer devices, will be reinforced by attaching voice applications,
since voice can support invisible communication with a computer device as a natural way of communicating. Signal
processing front end for extracting the feature set is an important stage in any speech recognition system. The optimum
feature set is still not yet decided though the vast efforts of researchers. There are many types of features, which are
derived differently and have good impact on the recognition rate. This project presents one of the techniques to extract
the feature set from a speech signal, which can be used in speech recognition systems.