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Discrete-Time Speech Signal Processing: Principles and Practice by Thomas F. Quatieri - Massachusetts Institute of Technology Lincoln Laboratory

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Chapter 14Speaker Recognition

14.1 Introduction

One objective in automatic speaker recognition is to decide which voice model from a known set of voice models best characterizes a speaker; this task is referred to as speaker identification [10]. In the different task of speaker verification, the goal is to decide whether a speaker corresponds to a particular known voice or to some other unknown voice. A speaker known to a speaker recognition system who is correctly claiming his/her identity is labeled a claimant and a speaker unknown to the system who is posing as a known speaker is labeled an imposter. A known speaker is also referred to as a target speaker, while an imposter is alternately called a background speaker. There are two types ...

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