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Wireless Speech Recognition System using Psychoacoustic Model  

Noh, Jin-Soo (Department of Electronic Engineering, Chosun University)
Rhee, Kang-Hyeon (Department of Electronic Engineering, Chosun University)
Publication Information
Journal of the Institute of Electronics Engineers of Korea CI / v.43, no.6, 2006 , pp. 110-116 More about this Journal
Abstract
In this paper, we implement a speech recognition system to support ubiquitous sensor network application services such as switch control, authentication, etc. using wireless audio sensors. The proposed system is consist of the wireless audio sensor, the speech recognition algorithm using psychoacoustic model and LDPC(low density parity check) for correcting errors. The proposed speech recognition system is inserted in a HOST PC to use the sensor energy effectively mil to improve the accuracy of speech recognition, a FEC(Forward Error Correction) system is used. Also, we optimized the simulation coefficient and test environment to effectively remove the wireless channel noises and correcting wireless channel errors. As a result, when the distance between sensor and the source of voice is less then 1.0m FAR and FRR are 0.126% and 7.5% respectively.
Keywords
Speech recognition; Wireless audio sensor; LDPC; Psychoacoustic model;
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