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Research in automatic speaker recognition has now spanned four decades. This paper surveys the major themes and advances made in the past 40 years of research so as to provide a technological perspective and an appreciation of the fundamental progress that has been accomplished in this important area of speech-based human biometrics. Although many techniques have been developed, many challenges have yet to be overcome before we can achieve the ultimate goal of creating human-like machines. Such a machine needs to be able to deliver satisfactory performance under a broad range of operating conditions. A much greater understanding of the human speech process is still required before automatic speaker recognition systems can approach human performance.

40 Years of Progress in Automatic Speaker Recognition