DIFFERENT FEATURE EXTRACTION TECHNIQUES FOR AUTOMATIC SPEECH RECOGNITION: A REVIEW

Automatic speech recognition, which allows a usual and user-friendly communication technique among individual and device, is a dynamic research area. The speech recognition is the skill to pay attention to what we are talking about, to interpret and to perform actions based on the information spoken. This article presents a short outline of speech recognition and the various techniques like MFCC, LPC and PLP intended for feature extraction in speech recognition system. Among the three techniques i.e. MFCC, LPC, PLP, Mel frequency cepstral coefficient's (MFCC) is repeatedly used feature extraction technique in speech recognition process because it is most nearby to the real individual acoustic speech opinion.