DocumentCode :
602028
Title :
Butterfly framework of LPCC ASIC design for friendly HMI in speaker identification
Author :
Chih-Hsiang Peng ; Ta-Wen Kuan ; Po-Chuan Lin ; Bo-Wei Chen ; Jhing-Fa Wang ; Guo-Ji Wu
Author_Institution :
Dept. of Electr. Eng., Nat. Cheng Kung Univ., Tainan, Taiwan
fYear :
2013
fDate :
12-16 March 2013
Firstpage :
189
Lastpage :
192
Abstract :
This work proposes a friendly and affordable speaker identification system using a low-cost linear prediction cepstral coefficients (LPCC) in a application-specific integrated circuit (ASIC) design. To achieve the advantages for human-machine interface (HMI), this system requires the feature performing in a fast responding time and a low cost design on the embedded platform. Consequently, two modes, that is, the butterfly architecture (BA) mode and the multiply-accumulate-tree (MAT) mode, are proposed to be switchable in the LPCC ASIC design. The MAT mode employs the butterfly architecture to reach the lower access time and the smaller controller area compared to the LPCC baseline. The BA mode provides the capability of resource sharing and parallel processing to lessen the computation burden. In contrast to the baseline, the simulation results indicate that the proposed accelerator is capable of decreasing 37% of area cost, 58% of responding time, and an accuracy rate in 90%. Experiments exhibit the entire performance of the proposed work is greater than the baseline, and thereby demonstrates the effectiveness of the proposed work.
Keywords :
application specific integrated circuits; brain-computer interfaces; embedded systems; integrated circuit design; parallel architectures; resource allocation; speaker recognition; BA mode; LPCC ASIC design; LPCC baseline; MAT mode; application-specific integrated circuit design; butterfly architecture mode; embedded platform; friendly HMI; human-machine interface; low cost design; low-cost linear prediction cepstral coefficients; lower access time; multiply-accumulate-tree mode; parallel processing; resource sharing; speaker identification system; Application specific integrated circuits; Cepstral analysis; Computer architecture; Feature extraction; Hardware; Pipelines; Resource management; Speaker identification system; application specific integrated circuit (ASIC); human-machine interface (HMI); linear prediction cepstral coefficients (LPCC);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Orange Technologies (ICOT), 2013 International Conference on
Conference_Location :
Tainan
Print_ISBN :
978-1-4673-5934-4
Type :
conf
DOI :
10.1109/ICOT.2013.6521189
Filename :
6521189
Link To Document :
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