User-identification on Window environment by using the speech

We implement an individual verification system for a multimedia environment such as Windows 95 by using DTW (dynamic time warping). The conventional method for speaker recognition uses a password through the keyboard. However, this paper uses speech. The major feature of this study is summarized as follows. (1) We make a complete reference pattern by updating the new speech pattern with the F₁/F₀ ratio. This method has a high recognition rate compared with the other systems whose performance degrade rapidly as time goes on. (2) We use the F-ratio values as weighted values of the cepstral coefficients. We find that the weighted cepstrum reveals an effect on intensifying the difference between the customer and the imposter. Also the speaker recognition rate is improved by more than 5% than the conventional DTW pattern matching with cepstrum. This shows the possibility that the speech signal can be used as a means of individual verification on a Windows environment