Speech Separation in the Vehicle Environment Based on FastICA Algorithm
Jindong Zhang, Guihe Qin, Ye Liu · Journal of Multimedia · 2012
The speech interaction in-vehicle wa s mainly realized by the speech recognition. The human-machine interaction around wa s usually disturbed by the noise, and the speech received by the receiver wa s not the original pure speech, so compared to the pure environment, the accuracy of the speech recognition decline d so sharply that it c ould not meet the demand of the practical application of human-machine interaction. So the speech recognition wa s required to have the strong adaptability and processing capacity to the speech with noise. In this paper, the FastICA algorithm in signal process and statistics wa s studied and used to separate the driver’s speech in the vehicle environment, and realizes the pretreatment in recognizing driver’s speech. The effectiveness of th e method ha d been validated in actual vehicle experimental configuration.