Locations and sizes of multipulses, which is used for driving a LPC vocal tract filter in speech synthesis, are clustered and applied to speaker verification. In clustering multipulse information, a modified K-mean algorithm is adopted. Three types of neural networks which consist of input layer with 90 ports, hidden layer with 1, 2 and 5 units and output layer with one port is also considered in verification process. After enough training using multipulse information of 70 speakers' 5 vowels, 94% of correct acceptance is achieved by determining optimum threshold.