Abstract

Speaker recognition is the process of recognizing the speaker using speech signals, which can be classified into speaker identification and verification. Speaker identification is the process of determining from which of the registered speakers a given utterance comes. Speaker verification is the process of accepting or rejecting the identity claimed by a speaker. Speaker recognition can also be classified into text-dependent, text-independent, and text-prompted methods. Spectral envelope and prosody features of speech are usually used as speaker features. In order to accommodate intraspeaker variations of signal characteristics, it is important to apply parameter-domain and/or likelihood-domain normalization/adaptation techniques. High-level features, such as word idiolect, pronunciation, phone usage, and prosody, have recently been investigated in text-independent speaker verification.

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