DocumentCode :
118058
Title :
Design of FPGA-based rapid prototype spectral subtraction for hands-free speech applications
Author :
Amornwongpeeti, Sarayut ; Ono, Nobutaka ; Ekpanyapong, Mongkol
Author_Institution :
Principles of Inf. Res. Div., Nat. Inst. of Inf., Tokyo, Japan
fYear :
2014
fDate :
9-12 Dec. 2014
Firstpage :
1
Lastpage :
6
Abstract :
In this paper, the design of a FPGA-based rapid prototype for Short-Time Fourier Transform (STFT) based spectral subtraction for hands-free speech applications using Xilinx System Generator (XSG) tools without traditional HDL hand coding is presented. Initially, the concept of a dual-channel short-time spectral subtraction algorithm for removing the wideband background noise in a speech signal is introduced. The studied algorithm is developed in the system-level modeling simulator using MATLAB Simulink environment. For the digital hardware design, simple hardware architectures for data framing and overlapping algorithms are proposed by utilizing the basic DSP blocksets of the XSG library, and replaced in the simulation model. Finally, a complete simulation model of the FPGA-based short-time spectral subtraction algorithm using XSG is presented. The comparative performance evaluation based on simulation results and the summary of resource utilization are confirmed the implementation feasibility of the real-time FPGA-based short-time spectral subtraction algorithm for hands-free speech applications.
Keywords :
Fourier transforms; digital signal processing chips; field programmable gate arrays; speech processing; DSP blocksets; FPGA design; HDL hand coding; STFT; XSG library; XSG tools; Xilinx system generator; background noise; data framing; dual channel short time spectral subtraction algorithm; hands free speech applications; overlapping algorithms; rapid prototype spectral subtraction; short time Fourier transform; spectral subtraction; speech signal; system level modeling simulator; Algorithm design and analysis; Decision support systems; Fourier transforms; Manganese; Mathematical model; Noise; Speech;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Asia-Pacific Signal and Information Processing Association, 2014 Annual Summit and Conference (APSIPA)
Conference_Location :
Siem Reap
Type :
conf
DOI :
10.1109/APSIPA.2014.7041600
Filename :
7041600
Link To Document :
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