Formants Based Analysis for Speech Recognition

Automatic Speech Recognition (ASR) is one of the most developing fields of the modern science having a wide range of applications. The purpose of this paper is to introduce statistical methods for speech recognition by extracting formants of the speech and analyzing their behavior. It is a novel way to speech recognition. The whole analysis for speech recognition is based upon first five formants of the speech. The method has been tested for Urdu speech, and result obtained is of high accuracy. There are 80 checkpoints, as a result of the algorithm (method), before Urdu speech is recognized. The method can be used for any other language as well for speech recognition.