| Paper: | SP-L3.4 | ||
| Session: | Distributed Speech Recognition | ||
| Time: | Wednesday, May 19, 14:00 - 14:20 | ||
| Presentation: | Lecture | ||
| Topic: | Speech Processing: Robust Speech Recognition | ||
| Title: | A COMPLEXITY REDUCTION OF ETSI ADVANCED FRONT-END FOR DSR | ||
| Authors: | Jin-Yu Li; University of Science and Technology of China | ||
| Bo Liu; iFlytek Speech Lab, University of Science and Technology | |||
| Ren-Hua Wang; iFlytek Speech Lab, University of Science and Technology | |||
| Li-Rong Dai; iFlytek Speech Lab, University of Science and Technology | |||
| Abstract: | 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. The structure of two-stage mel-warped Wiener filtering algorithm, which is the main part of AFE, is modified. In our new algorithm, 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. | ||
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