The Hokkien isolated word recognition system based on FPGA

Author

Lin Li ; Wenhao Xu ; Jiawen Wu ; Shan He ; Xiaochao Li

Author_Institution

Dept. of Electron. Eng., Xiamen Univ., Xiamen, China

fYear

2014

Firstpage

1

Lastpage

5

Abstract

A Hokkien isolated word recognition system has been implemented on the Spartan-6 XC6SLX45 FPGA hard-core in this paper. Firstly, an efficient method using adaptive double threshold is employed to execute the voice available detection. Secondly, the 24-th order cepstral analysis of static MFCC and differential MFCC is used to extract speech signal features. Finally Dynamic Time Warping (DTW) is utilized to find the minimum cost path between test and reference templates. The recognition system works offline and is built on medium class FPGA. The experiments on specific and non-specific speaker recognition for Hokkien isolated digits were implemented. And the analyzed results showed that the proposed system achieved a good performance in terms of recognition accuracy, calculation speed and hardware utilization.

Keywords

cepstral analysis; feature extraction; field programmable gate arrays; speaker recognition; word processing; DTW; Hokkien isolated digits; Hokkien isolated word recognition system; Spartan-6 XC6SLX45 FPGA hard-core; adaptive double threshold; cepstral analysis; differential MFCC; dynamic time warping; medium class FPGA; nonspecific speaker recognition; speech signal feature extraction; static MFCC; voice available detection; Algorithm design and analysis; Feature extraction; Field programmable gate arrays; Hardware; Mel frequency cepstral coefficient; Speech; Speech recognition; DTW; FPGA; Hokkien; Isolated word recognition; MFCC;

fLanguage

English

Publisher

ieee

Conference_Titel

Anti-counterfeiting, Security, and Identification (ASID), 2014 International Conference on

Print_ISBN

978-1-4799-7117-6

Type

conf

DOI

10.1109/ICASID.2014.7064971

Filename

7064971