A robust and fast endpoint detection algorithm for isolated word recognition

The problem of automatic word boundary detection in a quiet environment and in the presence of noise is addressed. A fast and robust algorithm for accurately locating the endpoints of isolated words is described in detail. This algorithm utilizes energy and zero crossing parameters to acquire the reference endpoints, and then the principle of variable frame rate (VFR) is adopted and cepstrum is used to accurately define the boundaries of isolated words. Experimental results show that the accuracy of the algorithm is quite acceptable. Moreover, the computation overload of this algorithm is low since the cepstrum parameters will be used in later recognition procedure.