A text independent speaker recognition system based on the Karhunen-Loeve transform, derived from the split-and-merge algorithm, is proposed. The split-and-merge algorithm is applied to speaker data compression in the time domain. A set of experiments is conducted which gives a 91% recognition rate for 100 Mandarin speakers.
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http://iet.metastore.ingenta.com/content/journals/10.1049/el_19980914
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