DocumentCode :
2148398
Title :
FPGA implementation of a linear systolic array for speech recognition based on HMM
Author :
Mosleh, Mohammad ; Setayeshi, Saeed ; Lotfinejad, M. Mehdi ; Mirshekari, Ali
Author_Institution :
Dezful Branch, Islamic Azad Univ., Dezful, Iran
Volume :
3
fYear :
2010
fDate :
26-28 Feb. 2010
Firstpage :
75
Lastpage :
78
Abstract :
The history of speech recognition refers to some decades ago. Speech recognition performs by using a number of complicated algorithms. Real-time and rapid execution of these algorithms is very important. In this paper, a linear systolic architecture is proposed which can execute speech recognition algorithms based on Hidden Markov Model (HMM) in parallel and pipeline forms. The proposed architecture is very regular, consisting of a set of identical and simple processor elements, which are connected together locally. In order to evaluate the proposed architecture, it has been designed by using VHDL code and synthesized on FPGA (Vertix2p) running at 320.546 MHZ.
Keywords :
field programmable gate arrays; hardware description languages; hidden Markov models; speech recognition; systolic arrays; FPGA implementation; HMM; VHDL code; complicated algorithms; hidden Markov model; linear systolic architecture; linear systolic array; rapid execution; speech recognition; Computer architecture; Decoding; Field programmable gate arrays; Hidden Markov models; History; Pipeline processing; Probability; Speech recognition; Systolic arrays; Viterbi algorithm; FPGA; Hidden Markov Model (HMM); Speech Recognition; Systolic Array;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer and Automation Engineering (ICCAE), 2010 The 2nd International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-5585-0
Electronic_ISBN :
978-1-4244-5586-7
Type :
conf
DOI :
10.1109/ICCAE.2010.5451202
Filename :
5451202
Link To Document :
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