GitHub

Stacking Variational Bayesian Monte Carlo (S-VBMC)

Stacking Variational Bayesian Monte Carlo (S-VBMC)[1] is a fast post-processing step for Variational Bayesian Monte Carlo (VBMC). VBMC is an approximate Bayesian inference technique that produces a ...
JSTOR Daily

A fast contraction algorithm using two inertial extrapolations for variational inclusion problem and data classification

In this paper, we propose a new method for solving variational inclusion problems in Hilbert spaces. This algorithm uses two inertial terms to speed up the convergence. In order to avoid computing the ...
JSTOR Daily

Revised algorithm for finding a common solution of variational inclusion and fixed point problems

Recent research has uncovered an algorithm for locating the common solution to variational inclusion problems with multivalued maximal monotone mapping and α-inverse strongly monotone mapping, as well ...
IEEE

VINP: Variational Bayesian Inference with Neural Speech Prior for Joint ASR-Effective Speech Dereverberation and Blind RIR Identification

Abstract: Reverberant speech, denoting the speech signal degraded by reverberation, contains crucial knowledge of both anechoic source speech and room impulse response (RIR). This work proposes a ...