Biometric person authentication has been attracting considerable attention in recent years. Conventional biometric person authentication systems, however, simply store each user's template as-is on the system. If registered templates are not properly protected, the risk arises of template leakage to a third party and impersonation using biometric data restored from a template. We propose a technique that partially deletes and splits template information so as to prevent template restoration using only registered template information while enabling restoration for only that template's owner using error-correcting code. This technique can be applied to general biometric authentication systems. In this paper, we introduce this technique and evaluate template security with it by simulating a speaker verification system.