Text independent speaker identification using fuzzy mathematical algorithm

The difference in effectiveness in representing the individual features of speakers of line spectrum pair (LSP) frequencies and cepstrum derived from linear prediction analysis is demonstrated. A fuzzy mathematical algorithm is introduced. A fuzzy statistical method is used to build up the membership function as the speaker´s template, and the maximum value of the membership function is used as the deciding criterion. A random combination of isolated digits from 0 to 9 is specified as the identification utterances. The system has been evaluated on a database of isolated digit utterances of 42 speakers, 20 males and 22 females, all university students. For each speaker, the training utterance time is approximately 36 seconds. The correct identification rate is approximately 99.7% for a random combination of five isolated digits.<>