ロバスト音声認識とそのLSI化について

抄録

The current speech recognition system shows high performance if testing and training data are collected from the same environment and acquisition system. In this paper, we present a novel filtering technique on spectral time trajectory. This method improves recognition accuracy in spite of differences between training and testing conditions. The recognition performance of the proposed method has been evaluated.