Combining Derivative and Parametric Kernels for Speaker Verification

Support vector machine-based speaker verification (SV) has become a standard approach in recent years. These systems typically use dynamic kernels to handle the dynamic nature of the speech utterances. This paper shows that many of these kernels fall into one of two general classes, derivative and p...

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Veröffentlicht in:	IEEE transactions on audio, speech, and language processing speech, and language processing, 2009-05, Vol.17 (4), p.748-757
Hauptverfasser:	Longworth, C., Gales, M.J.F.
Format:	Artikel
Sprache:	eng
Schlagworte:	Applied sciences Classifier combination Derivatives dynamic kernels Dynamical systems Dynamics Exact sciences and technology Information, signal and communications theory Kernel Kernels Logistics Mathematical models Maximum likelihood linear regression NIST Signal and communications theory Signal processing Signal representation. Spectral analysis Signal, noise Speaker recognition Speech Speech processing Strategy Support vector machine classification Support vector machines support vector machines (SVMs) Tasks Telecommunications and information theory
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