Polilips : application deaf & hearing disable students

Speech Recognition (SR) is a very useful technology, which makes life easier and has much to offer in our daily life and for the future. Generally, speech recognizer is a machine which understands humans and their spoken by converting to text. In SR makes communicating with the computer faster than manual interfaces do, like for example the keyboard means that the main advantage of SR is that it can save time. A different aspect of speech recognition is to facilitate for people with functional disability or other kinds of handicap. Typical applications include dictation, automatic transcription of large audio or video databases, speech-controlled user interfaces, and automated telephone services. If the recognition system is not limited to a certain topic and vocabulary, covering the words in the target languages as well as possible while maintaining high recognition accuracy becomes an issue. The conventional way to model the target language, especially in English recognition systems, is to limit the recognition to the most common words of the language. A vocabulary of 60 000 words is usually enough to cover the language adequately for arbitrary topics. This thesis introduces the potential of Automatic Speech Recognition (ASR) technology that is one of the most efficient input methods for human-computer in the challenge of inclusive education. ASR technology combined with Information and Communication Technology (ICT) enhances the learning of disabled people both in the classroom. In the classroom, deaf and hearing-impaired students can benefit from a real time transcription of what teacher is saying in English.