Abstract—This paper presents a parametric Bayesian approach to the statistical analysis of phoneme confusion matrices measured for groups of individual listeners in one or more t...
Leijon Leijon, Gustav Eje Henter, Martin Dahlquist
—We propose a fast speech analysis method which simultaneously performs high-resolution voiced/unvoiced detection (VUD) and accurate estimation of glottal closure and glottal ope...
Andreas I. Koutrouvelis, George P. Kafentzis, Niko...
—Speech separation systems usually operate on the short-time Fourier transform (STFT) of noisy speech, and enhance only the magnitude spectrum while leaving the phase spectrum un...
—Unseen noise estimation is a key yet challenging step to make a speech enhancement algorithm work in adverse environments. At worst, the only prior knowledge we know about the e...
Meng Sun, Xiongwei Zhang, Hugo Van hamme, Thomas F...
—We reformulate Joint Factor Analysis so that it can serve as a feature extractor for text-dependent speaker recognition. The new formulation is based on left-to-right modeling w...
Themos Stafylakis, Patrick Kenny, Md. Jahangir Ala...
Abstract—This paper compares different approaches for using deep neural networks (DNNs) trained to predict senone posteriors for the task of spoken language recognition (SLR). Th...
We consider the problem of detecting a cycle in a directed graph that grows by arc insertions, and the related problems of maintaining a topological order and the strong components...
Michael A. Bender, Jeremy T. Fineman, Seth Gilbert...
The restricted max-min fair allocation problem (also known as the restricted Santa Claus problem) is one of few problems that enjoys the intriguing status of having a better estima...
We study the well-known Label Cover problem under the additional requirement that problem instances have large girth. We show that if the girth is some k, the problem is roughly 2...