Speaker Dependent Coefficients for Speaker Recognition

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Provided by: Science & Engineering Research Support soCiety (SERSC)
Topic: Enterprise Software
Format: PDF
In this paper, the authors aim at speaker recognition based upon a new set of features. Feature extraction is a crucial phase of the recognition process and a proper feature set dramatically influences the speaker recognition. Many well-known features are not suitable for the speaker recognition as those merge the specifics of the individual voices. Therefore, they need features accentuating the individual differences of their voices to be able to recognize speakers reliably. This paper introduces new, speaker dependent features called Speaker Dependent Frequency Cepstrum Coefficients (SDFCCs), created for the speaker recognition purposes only.
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