Title :
Design of Speech Lock System Based on RBF Neural Network and Virtual Instrument Technology
Author :
Ji, Xiaofei ; Cao, Jiangtao ; Li, Yibo
Author_Institution :
Dept. of Auto-Control, Shenyang Inst. of Aeronaut. Eng.
Abstract :
Speech lock is designed in this paper by combining virtual instrument technology with speaker recognition technology and is applied in speaker identity verification system. By using the graphic language "LabVIEW" and its interface with numerical analysis software MATLAB6.5, the software design of speech capture, speech feature extraction and speaker verification based on RBF neural network classifier are completed in this speech lock. The whole speech lock system with friendly interface is facilitate to operate. The lock function is implemented in the door forbidden system of laboratory. As a part of the laboratory information manage system, this speech lock is used efficiently
Keywords :
feature extraction; mathematics computing; radial basis function networks; speaker recognition; virtual instrumentation; visual languages; LabVIEW; MATLAB6.5; RBF neural network; graphic language; laboratory information manage system; speaker identity verification system; speaker recognition; speech capture; speech feature extraction; speech lock system; virtual instrument technology; Computer languages; Graphics; Instruments; Laboratories; Natural languages; Neural networks; Numerical analysis; Software design; Speaker recognition; Speech analysis; RBF neural network; Virtual Instrument; speaker identity recognition;
Conference_Titel :
Mechatronics and Automation, Proceedings of the 2006 IEEE International Conference on
Conference_Location :
Luoyang, Henan
Print_ISBN :
1-4244-0465-7
Electronic_ISBN :
1-4244-0466-5
DOI :
10.1109/ICMA.2006.257818
