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Wireless indoor localization is crucial in ubiquitous computing environments. Although accurate and efficient indoor localization can be provided in dense wireless networks, most existing algorithms fail to locate a mobile user in sparse deployment networks. In order to address this issue, this paper presents a new fingerprinting localization algorithm based on cost function where received signal...
Model combination is a popular technique to integrate several knowledge sources into automatic speech recognition for better system accuracy. In this paper, we report our recent work on the integration of the hidden Markov model based acoustic model, the multi-layer perceptron based phoneme classifier and Gaussian mixture model based tone classifier in lattice rescoring. Moreover, we use discriminative...
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