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Word posterior probability (WPP) based confidence measure (CM) has been applied successfully in LVCSR tasks. However, for embedded speech recognition in which system resource is limited, not only performance of CM but also efficiency of the algorithm need to be considered. One of the most important issue in calculating WPP is how to obtain reliable estimation of the normalization term. So in this...
Perception of speech under adverse listening conditions may be improved by processing it to incorporate properties of clear speech. It needs automated detection of stop landmarks and enhancement of bursts and transition segments. A technique for accurate detection of stop landmarks in continuous speech based on parameters derived from Gaussian mixture modeling of log magnitude spectrum, a voicing...
This paper, proposes a method of voice signal analysis based on predictability measures. The objective is the differentiation of three groups of signals: healthy, nodules on the vocal folds, and Reinke's edema. This method is a slight reformulation of a measure called predictive power (PP) that uses the relative entropy between the signal and its prediction error to capture information about the predictability...
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