Abstract
This paper considers the use of MultiResolution Wavelets Analysis (MRWA) to classify speech for multifunctional control applications. While the classification problem is the focus of this paper, the ultimate goal is to improve speech analysis and their application performances. The proposed method performance was compared to that of temporal-time domain features with ANN classification. Results have shown that MRWA resulted in higher recognition rate and consistent output demonstrating higher reliability.