in recent years, sub-band speech recognition has been found useful in addressing the need for robustness in speech recognition, especially for the speech contaminated by band-limited noise. in sub-band speech recognition, the full band speech is divided into several frequency sub-bands, with the result of the recognition task given by the combination of the sub-band feature vectors or their lik...

We propose a new technique for normalizing likelihood of multiple classifiers prior to their combination. Our technique takes classifier-specific likelihood characteristics into account and maps them to a common, ideal characteristic allowing fair combination under arbitrary combination schemes. For each classifier, a simple warping process aligns the likelihood with the accumulated recognition...

This paper proposes an efficient combination of state likelihood recycling and batch state likelihood calculation for accelerating acoustic likelihood calculation in an HMM-based speech recognizer. Recycling and batch calculation are each based on different technical approaches, i.e. the former is a purely algorithmic technique while the latter fully exploits computer architecture. To accelerat...

In this paper we report on the combination of multilingual Hidden Markov Models for the recognition of non-native speech. Using a digit recognition task as an example, we first demonstrate the benefits of bilingual acoustic models that incorporate training data from both the target language and the speakers’ native language, and then compare two different recognizer combination methods, namely ...

abstract background: regarding the diagnostic errors of the classic criteria including serum ascites albumin gradient (saag), total protein concentration and the adapted light et al’s criteria in distinguishing transudate versus exudates, we evaluated the ascitic fluid to serum bilirubin ratio as a new criteria in this regard. we also evaluated whether the combination of bilirubin ratio with ea...

  Abstract   Background: Regarding the diagnostic errors of the classic criteria including serum ascites   albumin gradient (SAAG), total protein concentration and the adapted Light et al’s criteria   in distinguishing transudate versus exudates, we evaluated the ascitic fluid to serum   bilirubin ratio as a new criteria in this regard. We also evaluated whether the combination of   bilirubin r...

We consider likelihood based inference in a class of logistic models for case-control studies with a partially observed covariate. The likelihood is a combination of a nonparametric mixture, a parametric likelihood and an empirical likelihood. We prove the asymptotic normality of the maximum likelihood estimator for the regression slope, the asymptotic chisquared distribution of the likelihood ...