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- W2020127909 abstract "To achieve robust distant-talking automatic speech recognition in reverberant environments, the effect of reverberation on the speech feature sequences has to be modeled as accurately as possible. A convolution in the feature domain has been proposed recently in [1, 2, 3, 4] to capture the dispersion of the feature vectors caused by reverberation. These publications use a fixed representation of the acoustic path between speaker and microphone or an elementary statistical reverberation model based on simplifying assumptions. In this contribution, we propose a Monte-Carlo approach that allows for an explicit determination of the joint probability density function of a feature-domain reverberation model." @default.
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- W2020127909 modified "2023-09-26" @default.
- W2020127909 title "New Results for Feature-Domain Reverberation Modeling" @default.
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- W2020127909 doi "https://doi.org/10.1109/hscma.2008.4538713" @default.
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