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Review of various stages in speaker recognition system, performance measures and recognition toolkits

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Abstract

Speaker Recognition is a vital application of speech processing. Speaker Recognition performs a task of authenticating or recognizing a speaker based on the unique features captured which characterize the speaker. Characteristics or features which are unique to an individual such as fundamental frequency, speaking style, pitch, and duration are used as distinguishing components of the human speech signal. Exploring these characteristics for various applications with an attempt to implement a robust speaker recognition system has been the impetus behind the research in this domain. This paper makes an attempt to present the available Feature Extraction and Recognition techniques with their merits and demerits. It also discusses the pre-emphasis stage of the speaker recognition system. The standard databases available for speaker recognition along with the criterion for their selection are also reviewed. The paper presents an overview of various toolkits and performance parameters of Automatic Speaker Recognition System.

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Authors and Affiliations

  1. Sinhgad College of Engineering, Pune, Maharashtra, India

    Rupali V. Pawar

  2. Vishwakarma Institute of Technology, Pune, Maharashtra, India

    Rajesh M. Jalnekar & Janardan S. Chitode

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  1. Rupali V. Pawar
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  2. Rajesh M. Jalnekar
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  3. Janardan S. Chitode
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Correspondence to Rupali V. Pawar.

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Pawar, R.V., Jalnekar, R.M. & Chitode, J.S. Review of various stages in speaker recognition system, performance measures and recognition toolkits. Analog Integr Circ Sig Process 94, 247–257 (2018). https://doi.org/10.1007/s10470-017-1069-1

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  • DOI: https://doi.org/10.1007/s10470-017-1069-1

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