International Journal of Artificial Intelligence and Neural Networks
Author(s) : DIGANTA BAISHYA, PRADIP K. DAS
The speech recognition process involves human-machine communication via human voice. This complex process involves understanding and differentiating the basic characteristics of speech. Lot of work has been done in this regard, but we are yet to have a system with hundred percent recognition rate thus limiting uses of such a system only to non-critical applications. The task is to recognize the human voice sent to the machine via a communication media. The paper discusses some works done in the area of speech recognition. All speech recognition algorithms consider specific characteristics of speech signal resulting into better recognition rate in the recent years. However people are still looking into different aspects of speech signal to improve their rates. We focus on an aspect that is not studied much yet. The paper reports experiments conducted to verify whether the position of a word in a sentence influences the recognition rate, and if so, how and what can be done to utilize this effect to improve it. Experiments are conducted placing a word in various positions of a continuously spoken set of words to check the recognition rate. It was observed that the word when placed at the last position of a sequence usually improves the recognition rate. It was interesting to observe that chances of a word being interpreted correctly depend heavily on the phonetic structure towards the end. The observation can be crucial to improvement of the existing algorithms used in speech recognition.