BUT SWS 2013 - Massive Parallel Approach
نویسندگان
چکیده
We submitted a system composed of 26 subsystems as the required run. 13 subsystems are based on Acoustic Keyword Spotting and 13 on DTW. All of them were using three state phoneme posteriors as input. The underlaying phoneme posterior estimators were both in-language (Czech, English) and out-of-language (other 12 languages). We also performed unsupervised adaptation of the artificial neural network (ANN) on the target data and fusion based on binary logistic regression.
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