3 LITERATURE REVIEW Basic Concepts of Speech: Speech is a complex phenomenon. People rarely understand how is it produced and perceived. The naive perception is often that speech is built with words, and each word consists of phones. The reality is unfortunately very different. Speech is a dynamic process without clearly distinguished parts. It's always useful to get a sound editor and look into the recording of the speech and listen to it. Figure 3 illustrates a speech recording in an audio editor
Real Time Arabic Speech Recognition Abstract_ Speech recognition is the process of automatically recognizing the spoken words of person based on information content in speech signal. This paper gives an overview of the speech recognition system and its recent progress of technologies and their algorithms. Also it gives a brief description for six feature extraction techniques: Mel-frequency cepstrum (MFFCs), Neural Network (NN), Gaussian Filtering Model (GMM), Hidden Markov Models (HMMs), The SPHINX
CHAPTER 2 LITERATURE REVIEW 2.1 Introduction This chapter presents a literature review on Auto Ordering System (AOS) and discusses about the overview of the project and analysis review that involved in this project. The review from previous research that related to the AOS development is also stated in this chapter. 2.2 Overview of Auto Ordering System AOS is about developing a speech based system that can assist the visually impaired people when ordering a meal in a restaurant via the
Abstract—Facial Expression Recognition refers to the classification of facial features in one of the basic emotions: happiness, sadness, fear, disgust, surprise, anger and neutral. It is performed by means of feature extraction. Principle Component Analysis is a technique among the most common feature extraction technique used in Facial Expression Recognition. In this paper, a Facial Expression Recognition System for human’s expression identification using Principle Component Analysis with City-Block Distance
applies them in computerized machines. One of the advantages of speech recognition system is to simultaneously convert a user’s voice into text. A telephone can record a voice call. But, Current telephony system has no processing
Handwritten Gujarati Text Documents: A Review Kunal Shah. Babu Madhav Institute of Information Technology, Uka Tarsadia University Maliba Campus, Gopal Vidhyanagar, Bardoli, Gujarat, India. ABSTRACT Optical Character Recognition is most use full thing in market. Optical Character Recognition very difficult task in information technology area but in some where achieve the solution by many researcher and experts people. In this paper you may know about what is OCR and its application, its varies technique
For implementing facial biometric we need to go through the process of face detection and face recognition. In face detection system, faces first need to be located properly and look towards further processing to detect facial features. In this study skin color based face detection method is applied which uses LAB color space. Skin color is one of the useful and robust methods for face detection. A facial recognition system is a computer application for automatically identifying
CHAPTER 1 INTRODUCTION TO FACE RECOGNITION 1.1. BIOMETRICS A biometric system is a technological system that uses information about a person to identify that person. Biometric systems rely on specific data about unique biological traits in order to work effectively. A biometric system will involve running data through algorithms for a particular result, usually related to a positive identification of a user or other individual. We all have unique physiological
information. Traditionally data containing information are used when there is particular need for the particular data. But in today’s modern world due to the advancement in technology big data encounters many challenges. These challenges include analysis, capture (storing up of information that is not present), data curation the term indicates the managing the activities of data, for datas that has been in use for the purpose of long term research ensuring the availability of data for further reuse
in maintaining listeners' awareness of their environment, and is a major concern for cochlear implant recipients. Although research indicates that the decrease in spectral resolution has a negative impact on environmental sound recognition, little is known about the process that is underlying the perceptual adaptation to spectrally-degraded input. Most listening environments contain a great variety of auditory signals. Although communication researchers till date have concentrated primarily only on