Fast endpoint detection algorithm for isolated word recognition in office environment

The authors present a simple and fast algorithm for accurately locating the endpoints of isolated words spoken in an office environment. This algorithm is based on energy measures and threshold logic and is adaptive to almost any low-noise acoustic environment. Experimental results from the algorithm´s application were both acoustically checked and compared to hand-edited results by skilled personnel. The algorithm was tested on a vocabulary of 34 words, uttered by 25 speakers and recorded in different acoustic environments. The accuracy of the algorithm is quite acceptable