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Automatic prosodic break detection is important for both speech understanding and natural speech synthesis. In this paper, we develop complementary model to detect Mandarin prosodic break by using acoustic, lexical and syntactic evidence. The model realizes the complementarities by taking the advantages of each model. When comparing with the baseline system, our proposed method has good performance.
This paper presents a learning approach using cerebellar model articulation controller (CMAC) to accommodate faults for a class of multivariable nonlinear systems. A CMAC is proposed to estimate the unknown fault. Then, an adaptive fault accommodation controller is derived based on Lyapunov function, so that the proposed control system can accommodate the faults with desired system stability. Finally,...
The factor of CFO (carrier frequency offset) definitely degrades the final results of system performance evaluation for an asynchronous MC-CDMA (multi-carrier coded-division multiple-access) system is one of the most frequently discussed issues in every kind of assuming situations. However, the other one important parameter of FBC (fading branch correlation) is much rare for implying in the study...
The theoretic foundation of traditional microphone array post-filters is the assumption that the noise between sensors is uncorrelated. However, this assumption is inaccurate in real environments since the correlated noise exists. In this paper, a generalized microphone array post-filter is proposed to deal with both the correlated and uncorrelated noise in environments and a novel perceptual filter...
An algorithm based on least-mean-square error and sparse features is presented for underdetermined blind source separation (BSS), i.e., situation when the number of observed signals' is less than that of sources. In this paper, using the sparsity of sources, first, we estimate the mixing matrix using a new potential function based on clustering method. Then use the estimated mixing matrix and the...
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