JISE

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Journal of Information Science and Engineering, Vol. 22 No. 5, pp. 1093-1107

Multiband Subspace Tracking Speech Enhancement for In-Car Human Computer Speech Interaction

Chung-Hsien Yang, Jia-Ching Wang, Jhing-Fa Wang,
Hsiao-Ping Lee, Chung-Hsien Wu^* and Kai-Hsing Chang
Department of Electrical Engineering
^*Department of Computer Science and Information Engineering
National Cheng Kung University
Tainan, 701 Taiwan

In this paper, a new subspace-based speech enhancement algorithm for in-car human computer speech interaction is presented. We first incorporate a perceptual filterbank which is derived from psycho-acoustic model with signal subspace approach to effectively suppress in-car noises of engine. Second, for real-time applications, a new subspace tracking algorithm is derived by modifying PASTd algorithm to solve the data dependent hazard of tacking algorithm. Six different types of in-car noises in TAICAR database are used in our evaluation. The experimental results demonstrate that our approach is superior to conventional subspace and spectral subtraction methods.

Keywords: human computer interaction, in-car noise, speech enhancement, PASTd algorithm, perceptual filterbank, subspace tracking

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