Speaker Independent Speech Recognition of Isolated Words in Room Environment

In this paper, the process of recognizing some important words from a large set of vocabularies is demonstrated based on the combination of dynamic and instantaneous features of the speech spectrum. There are many procedures to recognize a word by its vowel but this paper presents the highly effective speaker independent speech recognition in a typical room environment noise cases. To distinguish several isolated words of the sound of different vowels, two important features known as Pitch and Formant are extracted from the speech signals collected from a number of random male and female speakers. The extracted features are then analysed for the particular utterances to train the system. The specific objectives of this work are to implement an isolated and automatic word speech recognizer, which is capable of recognizing as well as responding to speech and an audio interfacing system between human and machine for an effective human-machine interaction. The whole system has been tested using computer codes and the result was satisfactory in almost 90% of cases. However, system might get confused by similar vowel sounds sometimes.