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The LSF parameters were transformed to the square-root Δ LSF domain and we modeled the underlying distribution by a von Mises–Fisher mixture model (VMM).
In this paper, we present the LSF parameters by a unit vector form, which has directional characteristics. The underlying distribution of this unit vector ...
Jun 12, 2015 · In this paper, we present the LSF parameters by a unit vector form, which has directional characteristics. The underlying distribution of this ...
Efficient quantization of the linear predictive coding (LPC) parameters plays a key role in parametric speech coding. The line spectral frequency (LSF) ...
We proposed a text-independent speaker identification (SI) sys- tem based on differential line spectral frequencies (ΔLSFs) of the speaker's vocal tract. Having ...
This paper addresses text-independent speaker identification (SI) based on line spectral frequencies (LSFs). The LSFs are transformed to differential LSFs ...
The underlying distribution of this unit vector variable is modeled by a von Mises–Fisher mixture model (VMM). An optimal inter-component bit allocation ...
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We review the multivariate vMF distribution in Section 1.3. In Section 1.4 we introduce a generative model using a mixture of vMF distributions. We then derive ...
This paper analytically estimates the mixture model parameters in a fully Bayesian treatment by using variational inference and shows that the square root ...
Sep 3, 2024 · This paper presents an analytical analysis of the Doppler spectrum in von Mises-Fisher (vMF) scattering channels.