Artificial neural network based autoregressive modeling technique with application in voice activity detection

2012 ◽  
Vol 25 (6) ◽  
pp. 1265-1276 ◽  
Author(s):  
A.M. Aibinu ◽  
M.J.E. Salami ◽  
A.A. Shafie
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Voice Activity Detection ◽  
Modeling Technique ◽  
Activity Detection ◽  
Autoregressive Modeling ◽  
Artificial Neural ◽  
Voice Activity

scholarly journals ARTIFICIAL NEURAL NETWORK BASED ONLINE SENSOR CALIBRATION AND COMPENSATION

2014 ◽  
pp. 74-78
Author(s):  
Shakeb A. Khan ◽  
Tarikul Islam ◽  
Gulshan Husain
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Inverse Modeling ◽  
Sensor Response ◽  
Modeling Technique ◽  
Sensor Calibration ◽  
Online Sensor ◽  
Artificial Neural ◽  
And Performance ◽  
Artificial Neural Network Ann

This paper presents an artificial neural network (ANN) based generalized online method for sensor response linearization and calibration. Inverse modeling technique is used for sensor response linearization. Multilayer ANN is used for inverse modeling of sensor. The inverse model based technique automatically compensates the associated nonlinearity and estimates the measurand. The scheme is coded in MATLAB® for offline training and for online measurement and successfully implemented using NI PCI-6221 Data Acquisition (DAQ) card and LabVIEW® software. Manufacturing tolerances, environmental effects, and performance drifts due to aging bring up a need for frequent calibration, this ANN based inverse modeling technique provides greater flexibility and accuracy under such conditions.

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