A SPEAKER VERIFICATION SYSTEM

摘要

The claimed identity of a person is verified from a sample of that person's speech. The speech sample is processed to extract a set of characteristic features. These features are then compared with stored features previously derived from a speech sample of the claimed identity, using a plurality of separate algorithms in parallel. The outputs of the individual algorithms are then fed to an artificial neural network which is used as a further decision algorithm to arrive at the final decision to accept or reject the speaker's identity claim. By using several different decision algorithms, and combining the outputs of those algorithms in a neural network, the speaker verification technique is more universally applicable, and hence more reliable.