Feature Extraction Techniques for Speech Recognition: A Review

Speech is the way of communication between the human. It also defined as it is a process which automatically recognizes the spoken words of person based on given speech signal information. It is also known as Automatic Speech Recognition or computer speech recognition and speech to text conversion. Automatic speech recognition is the very interesting area of research and lots of research work has been done by number of researchers. To recognize the speech feature extraction and word recognition these two steps are followed. After feature extraction feature matching is performed for word recognition. This paper describe the different feature extractions techniques like MFCC,LPC,LPCC,DWT etc. section I gives the introduction. Section II explains the types of speech uttered. Different feature extraction techniques are explained in section III. The section IV gives the classification of speech recognition techniques. Conclusion is given in section V and section V gives acknowledgment.