Paper Details

Speech Recognition is the process of automatically recognizing a certain word spoken by a particularspeaker based on individual information included in speech waves. This technique makes it possible to use the speaker‟svoice to verify his/her identity and provide controlled access to services like voice based biometrics, database accessservices, voice based dialing, voice mail and remote access to computers. Voice can be a powerful tool for use in humancomputer interaction because it is the fundamental means of human communication. With the rapid growth of wirelesscommunications, the need for voice recognition techniques has increased greatly. Portability and wearability, which arenecessary 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. Signalprocessing front end for extracting the feature set is an important stage in any speech recognition system. The optimumfeature set is still not yet decided though the vast efforts of researchers. There are many types of features, which arederived differently and have good impact on the recognition rate. This project presents one of the techniques to extractthe feature set from a speech signal, which can be used in speech recognition systems.

Pooja Barade, Mahesh Chande, Neha Debadwar, Varsha Mahajan, Prof.Sonali Patil, “AUTO-SPEECH CASTING SYSTEM FOR PROGRAMING IDE PLATFROM”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 5, Issue 3, pp. 1179-1184, March 2018.