文档介绍：Engineering Letters, 13:2, EL_13_2_9 (Advance online publication: 4 August 2006)
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Voice Recognition with works,
Type-2 Fuzzy Logic and ic Algorithms
Patricia Melin, Jerica Urias, Daniel Solano, Miguel Soto, Miguel Lopez, and Oscar Castillo
and verification systems. Speaker identification is the process
Abstract—We describe in this paper the use of works, of determining which registered speaker provides a given
fuzzy logic and ic algorithms for voice recognition. In utterance. Speaker verification, on the other hand, is the
particular, we consider the case of speaker recognition by process of accepting or rejecting the identity claim of a speaker.
analyzing the sound signals with the help of intelligent techniques,
Most applications in which a voice is used as the key to confirm
such as the works and fuzzy systems. We use the neural
networks for analyzing the sound signal of an unknown speaker, the identity of a speaker are classified as speaker verification
and after this first step, a set of type-2 fuzzy rules is used for [11].
decision making. We need to use fuzzy logic due to the uncertainty Speaker recognition methods can also be divided into
of the decision process. We also use ic algorithms to optimize text-dependent and text-independent methods.