Statistical Method to Improve Performance of ASR Signal Processor

Author

Sun, Shuifa ; Zhou, Xuejun ; Ji, Peirong

Author_Institution

Coll. of Electr. Eng. & Inf. Technol., China Three Gorges Univ., Hubei

Volume

1

fYear

2006

fDate

16-20 2006

Abstract

In this paper, a statistical method to improve the performance of the signal processor based on the bi-stable a-periodic stochastic resonance (ASR) is proposed. Before this, the ASR signal processor, that can be used to detect the base-band binary pulse amplitude modulation (PAM) signal transmitting over an additive white Gaussian noise (AWGN) channel, is investigated. We then give our method to recover the binary PAM signal from the recovered waveform from bi-stable stochastic resonance system. The experiment is performed and the results show that our method can improve the performance of ASR signal processor greatly

Keywords

AWGN channels; pulse amplitude modulation; signal processing; statistical analysis; ASR signal processor; AWGN channel; PAM; additive white Gaussian noise channel; base-band binary pulse amplitude modulation; bi-stable a-periodic stochastic resonance; bi-stable stochastic resonance system; statistical method; AWGN; Additive white noise; Automatic speech recognition; Bit error rate; Gaussian noise; Signal processing; Signal to noise ratio; Statistical analysis; Stochastic resonance; Strontium;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing, 2006 8th International Conference on

Conference_Location

Beijing

Print_ISBN

0-7803-9736-3

Electronic_ISBN

0-7803-9736-3

Type

conf

DOI

10.1109/ICOSP.2006.344445

Filename

4128781