Business is demanding higher recognition accuracy with no increase in computation time compared to previously adopted baseline speech recognition systems. Accuracy can be improved by adding a gender dependent acoustic model and unsupervised adaptation based on CMLLR (Constrained Maximum Likelihood Linear Regression). CMLLR-based batch-type unsupervised adaptation estimates a single global trans...

Analogy-based estimation has, over the last 15 years, and particularly over the last 7 years, emerged as a promising approach with comparable accuracy to, or better than, algorithmic methods. In addition, it is potentially easier to both understand and apply; these two important factors can contribute to the successful adoption of estimation methods within Web development Companies. We believe ...

This paper proposes an unsupervised, batch-type, class-based language model adaptation method for spontaneous speech recognition. The word classes are automatically determined by maximizing the average mutual information between the classes using a training set. A class-based language model is built based on recognition hypotheses obtained using a general word-based language model, and linearly...

Cognitive radio (CR) provides a theoretical foundation to achieve the cognitive function and collaborative function for the positioning nodes. Under this trend, the cognitive positioning system (CPS) has emerged. But the limitation of the traditional range accuracy adaptation criterion based on Cramér-Rao Lower Bound (CRLB) makes it very diffcult to put CPS into practices.To overcome this probl...

We have seen that the accuracy of methods for computing integrals or derivatives of a function f(x) depends on the spacing between points at which f is evaluated, and that the approximation tends to the exact value as this spacing tends to 0. Suppose that a uniform spacing h is used. We denote by F (h) the approximation computed using the spacing h, from which it follows that the exact value is...

Abstract— There are several works dedicated to the investigation of Volterra integro-differential equations. In addition, there are theoretical and practical representations of stable methods that have a high order of accuracy and extended stability regions; these representations were constructed using the minimum values of arithmetic operations. Here, hybrid methods are proposed for the constr...

This paper reports on the automatic transcription accuracy of voicemail messages. It shows that vocal tract length normalization and adaptation using linear transformations, proven to improve accuracy on the Switchboard task, provide similar accuracy improvements on this task. Direct application of the normalization techniques is complicated by the fragmentation of the data. However, unsupervis...

A new writer adaption method based on incremental linear discriminant analysis (ILDA) is presented in this paper. We first provide a more general solution for ILDA and then present a Weighted ILDA (WILDA) approach. Based on ILDA or WILDA, the writer adaptation is performed by updating the LDA transformation matrix and the classifier prototypes in the discriminative feature space. Experimental r...

The incoherent type-1 feed-forward loop (I1-FFL) is ubiquitous in biological regulatory circuits. Although much is known about the functions of the I1-FFL motif, the energy cost incurred in the network and how it affects the performance of the network have not been investigated. Here, we study a generic I1-FFL enzymatic reaction network modelled after the GEF-GAP-Ras pathway responsible for che...