| 摘要 |
<p>PURPOSE:To perform secure speaker matching not for short-period data, but for data with a period difference by using a BPF parameter and an LPC cepstrum which are relatively tolerant to a secular change in combination, and varying their decision conditions according to the period difference. CONSTITUTION:A speaker voices words of the same document, etc., as that in registration and similar DP matching with a standard pattern is performed by a BPF analysis and an LPC(Linear Predictive Coefficient) analysis. Then the similarity between the input pattern after the DP matching and the standard pattern registered in registration mode is found according to a frame, a BPF number, etc. Then the Mahalanobis generalized distance (D1, D2) is compated form the distribution for the person himself and the speaker distribution of the input data; when D1 > D2, the pattern is decided as that of a false speaker and rejected, but when D1 < D2, the pattern is judged as that of the person himself and accepted.</p> |
