44 research outputs found

    Subband Likelihood-Maximizing Beamforming for Speech Recognition in Reverberant Environments

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    Likelihood-Mazimizing Beamforming for Robust Hands-Free Speech Recognition

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    ... In this paper a new approach to microphone-array processing is proposed in which the goal of the array processing is not to generate an enhanced output waveform but rather to generate a sequence of features which maximizes the likelihood of generating the correct hypothesis. In this approach, called Likelihood-Maximizing Beamforming (LIMABEAM), information from the speech recognition system itself is used to optimize a filter-and-sum beamformer. Speech recogniton experiments performed in a real distant-talking environment confirm the efficacy of the proposed approach

    Extensions of Suboptimal Output Feedback Control with Application to Large Space Structures

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    A new measure of departure resistance using structured singular values

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