نتایج جستجو برای: dence
تعداد نتایج: 1460 فیلتر نتایج به سال:
In this study, a duration{based measure is formulated for assigning con dence scores to phonetic time{alignments produced by an automatic speech segmentation system. For speech corrupted by additive noise or telephone channel environments, the proposed con dence measure is shown to provide a reliable means by which gross segmentation errors can be automatically detected and marked for human han...
An important objective in the evaluation of algorithms with sensory inputs is the devel opment of measures characterizing the intrinsic errors in the results Intrinsic are those errors which are caused by noise in the input data The particular application which we consider is D reconstruction from stereo We demonstrate that a radiometric correction of the images could improve signi cantly the a...
It is argued that standard impulse response analysis based on vector autoregressive models has a number of shortcomings Although the impulse responses are estimated quantities measures for sampling variability such as con dence intervals are often not provided If con dence intervals are given they are often based on bootstrap methods with poor theoretical properties These problems are illustrat...
For binary matched-pairs data, this article discusses interval estimation of the di erence of probabilities 7 and an odds ratio for comparing ‘success’ probabilities. We present simple improvements of the commonly used Wald con dence intervals for these parameters. The improvement of the interval for the 9 di erence of probabilities is to add two observations to each sample before applying it. ...
In this paper, the speech understanding problem in the context of a spoken dialog system is formalized in a maximum likelihood framework. Word and dialog-state n-grams are used for building categorical understanding and dialog models, respectively. Acoustic con dence scores are incorporated in the understanding formulation. Problems due to data sparseness and out-of-vocabulary words are discuss...
This paper investigates the response of US stock market uncertainty to monetary policy of the Federal Reserve Bank. It can be shown that monetary policy signifi cantly Granger-causes stock market confi dence. By using monthly closing prices of the V IX as a stock market uncertainty proxy and a copula-based Markov approach the stable nonlinear relation between confi dence and uncertainty is demo...
It is argued that standard impulse response analysis based on vector autoregressive models has a number of shortcomings Although the impulse responses are estimated quantities measures for sampling variability such as con dence intervals are often not provided If con dence intervals are given they are often based on bootstrap methods with poor theoretical properties These problems are illustrat...
Explicit computation of the score vector and the observed information matrix in hidden Markov models is described. With the help of the information matrix Wald's con dence intervals can be formed for the model parameters. Finite sample properties of the maximum-likelihood estimator and its standard error are investigated by means of simulation studies. We compare the con dence levels of interva...
For many practical applications of speech recognition systems, it is desirable to have an estimate of con dence for each hypothesized word, i.e. to have an estimate which words of the speech recognizer's output are likely to be correct and which are not reliable. Many of today's speech recognition systems use word lattices as a compact representation of a set of alternative hypothesis. We explo...
This paper studies performance of both point and interval predictors of technical ine ciency in the stochastic production frontier model using a Monte Carlo experiment. In point prediction we use the Jondrow et al. (1980) results, while for interval prediction the Horrace and Schmidt (1996) and Hjalmarsson et al. (1996) results are used. When ML estimators are used we nd negative bias in point ...
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