DocumentCode :
2203279
Title :
A new on-line robust approach to design noise-immune speech recognition systems
Author :
Vargas, F. ; Fagundes, R.D. ; Barros, D., Jr.
Author_Institution :
Electr. Eng. Dept, Catholic Univ., Porto Alegre, Brazil
fYear :
2002
fDate :
2002
Firstpage :
187
Abstract :
We summarize hereafter a new approach dealing to couple with the harmful effects of noise on speech recognition systems. This approach is oriented to hardware redundancy and it is essentially a modification of the classic software-based recovery blocks scheme. When compared to conventional approaches using (FFT) and Hamming Code, the primary benefit of such a technique is to improve system performance when operating in real (i.e., noisy) environments. The second advantage is related to the considerably low complexity and reduced area overhead required for implementation. We implemented a fully version of the proposed algorithm using the C language. The goal of this implementation is twofold: first, it is used in this paper to illustrate the effectiveness of the proposed ideas and enrich further discussions. Second, it will be used in a near future as a system single-source code specification that will be partitioned and implemented according to a HW-SW codesign methodology we have proposed in previous works.
Keywords :
circuit complexity; design for testability; digital signal processing chips; filtering theory; hardware-software codesign; hidden Markov models; redundancy; speech recognition; speech recognition equipment; C language; HMM; hardware redundancy; hardware-software codesign; low complexity; noise filtering; noise-immune speech recognition systems; on-line robust design approach; on-line testing; reduced area overhead; single-source code specification; small-footprint devices; software-based recovery blocks; Application software; Digital signal processing; Fast Fourier transforms; Hardware; Hidden Markov models; Noise robustness; Personal digital assistants; Signal processing algorithms; Speech recognition; Working environment noise;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
On-Line Testing Workshop, 2002. Proceedings of the Eighth IEEE International
Print_ISBN :
0-7695-1641-6
Type :
conf
DOI :
10.1109/OLT.2002.1030211
Filename :
1030211
Link To Document :
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