Today attempts are made to improve human machine interaction. Automatic speech recognition is widely used for helping hearing impaired and elderly people so that they can watch television shows more effectively. Speech recognition is also known as Automated Speech Recognition (ASR). Different models used for speech recognition include hidden markovian model, dynamic time warping, artificial neural network and acoustic phone model. The two methods of SRmLA i. e. RTC and PLT were beneficial in its own ways. The later method was found to be more advantages in terms of word recognition. Full accessibility for persons who are deaf and hard of hearing requires easy-to-use and pervasive conversion methods for audio information both in academic environments and the workplace. Transcription of audio materials provides one method to solve this access problem.

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Automated Speech Recognition Real Time Captioning Post Lecture Transcription Speech Recognition Mediated Language Acquisition.