In this paper, we propose a novel approach to feature compensation performed in the cepstral domain. We apply the linear approximation method in the cepstral domain to simplify th...
Woohyung Lim, Chang Woo Han, Jong Won Shin, Nam So...
Speaker recognition remains a challenging task under noisy conditions. Inspired by auditory perception, computational auditory scene analysis (CASA) typically segregates speech by...
Maximum-Likelihod Linear Regression (MLLR) transform coefficients have shown to be useful features for text-independent speaker recognition systems. These use MLLR coefficients ...
We cope with the metadata recognition in layoutoriented documents. We address the problem as a classification task and propose a method for automatic extraction of relevant featu...
Automatic Speech Recognition (ASR) systems continue to make errors during search when handling various phenomena including noise, pronunciation variation, and out of vocabulary (O...
Christopher M. White, Geoffrey Zweig, Lukas Burget...