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- W2142523557 abstract "This paper presents a study on wavelets and their characteristics for the specific purpose of serving as a feature extraction tool for speaker verification (SV), considering a Radial Basis Function (RBF) classifier, which is a particular type of Artificial Neural Network (ANN). Examining characteristics such as support-size, frequency and phase responses, amongst others, we show how Discrete Wavelet Transforms (DWTs), particularly the ones which derive from Finite Impulse Response (FIR) filters, can be used to extract important features from a speech signal which are useful for SV. Lastly, an SV algorithm based on the concepts presented is described." @default.
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- W2142523557 date "2010-11-01" @default.
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- W2142523557 title "A WAVELET-BASED SPEAKER VERIFICATION ALGORITHM" @default.
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- W2142523557 doi "https://doi.org/10.1142/s0219691310003894" @default.
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