Analysis of Speech Recognition Models for Real Time Captioning and Post Lecture Transcription

Provided by: International Journal of Computer Applications
Topic: Enterprise Software
Format: PDF
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.

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