Facial age estimation using artificial neural network and robust feature extraction

2015 ◽  
Author(s):  
Nasim Borzue ◽  
Karim Faez
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Feature Extraction ◽  
Age Estimation ◽  
Robust Feature Extraction ◽  
Artificial Neural ◽  
Facial Age

scholarly journals Automatic Speaker Recognition using MFCC and Artificial Neural Network

2019 ◽  
Vol 9 (1S) ◽  
pp. 39-42
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Feature Extraction ◽  
Speaker Recognition ◽  
Automatic Speaker Recognition ◽  
Extraction Algorithm ◽  
Robust Feature Extraction ◽  
Artificial Neural ◽  
Mel Frequency Cepstral Coefficient ◽  
Feature Extraction Technique

Automatic speaker recognition is the process of identification of a person automatically from his/her voices. A robust feature extraction algorithm is required for effective and efficient classification. In this paper, a new method is proposed for identifying the speaker using an artificial neural network. Here mel- frequency cepstral coefficient(MFCC) is used as a feature extraction technique that provides useful features for the recognition process. Using these extracted features value, input samples are then created and finally, classification is performed using Multilayer Perceptron (MLP) which is trained by backpropagation. This proposed method gives an accuracy of 94.44%.

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