Speech Processing method is one of the important method used in application area of digital and analog signal processing. It is used in real world speech processing of human language such as human computer interface system for home, industry and medical field. It is the most common means of the communication because the information contains the fundamental role in conversation. From the speech or conversation, it converts an acoustic signal that is captured by a microphone or a telephone, to a set of words. Various fields for research in speech processing are speech recognition, speaker recognition, speech synthesis, speech coding etc. Speech recognition is the process of automatically recognizing the spoken words of person based on information content in speech signal. The introduces a brief detail study on Automatic Speech Recognition and discusses the various classification techniques that have been accomplished in this wide area of speech processing. The objective of this paper is to study some of the well known methods that are widely used in several stages of speech recognition system.

From the last two decades, face recognition is an important and vital role especially in the field of commercial, banking, social and law enforcement area. It is an interesting application of pattern recognition and hence received significant attention. The complete process of face recognition covers in three stages, face detection, feature extraction and recognition. Various techniques are then needed for these three stages. Also these techniques vary from various other surrounding factors such as face orientation, expression, lighting and background. This paper presents the complete study and review of various techniques used in face detection and feature extraction staged under different conditions.