A complexity reduction of ETSI advanced front-end for DSR

Jinyu Li, Bo Liu, Ren-Hua Wang, and Li-Rong Dai


In Oct. 2002, Advanced Front-End (AFE) for Distributed

Speech Recognition (DSR) was standardized by ETSI. In order

to use AFE feature on low computational resource devices, we

propose a novel approach to improve the computational

efficiency. In our new algorithm, the structure of two-stage melwarped

Wiener filtering algorithm, which is the main part of

AFE, is modified. Wiener filter is constructed and applied

directly in mel-warped filter-bank domain. The measures we

take make many time-consuming operations in original

algorithm completely unnecessary, including the re-calculations

of power spectrum and the time-domain convolution operations.

Consequently, a large amount of computations are saved.

Experiments show that the new approach can substantially

reduce the computation load while preserving the excellent

performance of the ETSI AFE.


Publication typeInproceedings
Published inProc. ICASSP
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