Previous [ 1] [ 2] [ 3] [ 4] [ 5] [ 6] [ 7] [ 8] [ 9] [ 10] [ 11] [ 12] [ 13] [ 14] [ 15] [ 16] [ 17] [ 18]

¡@

Journal of Information Science and Engineering, Vol. 22 No. 5, pp. 1093-1107 (September 2006)

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

Full Text (¥þ¤åÀÉ) Retrieve PDF document (200609_07.pdf)

Received August 16, 2005; accepted January 17, 2006.
Communicated by Jhing-Fa Wang, Pau-Choo Chung and Mark Billinghurst.