Hybrid lip shape feature extraction and recognition for human-machine interaction

2013 ◽  
Vol 18 (3) ◽  
pp. 191 ◽  
Author(s):  
Yi Zhang ◽  
Jiao Liu ◽  
Yuan Luo ◽  
osheng Hu
Keyword(s):  
Feature Extraction ◽  
Shape Feature ◽  
Human Machine Interaction ◽  
Machine Interaction ◽  
Shape Feature Extraction

scholarly journals Telugu Speech Recognition on LSF and DNN Techniques

2019 ◽  
Vol 8 (4) ◽  
pp. 7160-7162
Keyword(s):  
Feature Extraction ◽  
Speech Recognition ◽  
Deep Level ◽  
Human Interaction ◽  
Major Area ◽  
Feature Classification ◽  
Human Machine Interaction ◽  
Easy Task ◽  
Recognition Systems ◽  
Machine Interaction

This fast world is running with machine and human interaction. This kind of interaction is not an easy task. For proper interaction between human and machine speech recognition is major area where the machine should understand the speech properly to perform the tasks. So ASR have been developed which improvised the HMIS (“Human Machine Interaction systems”) technology in to the deep level. This research focuses on speech recognition over “Telugu language”, which is used in Telugu HMI systems. This paper uses LSF (linear spectral frequencies) technique for feature extraction and DNN for feature classification which finally produced the effective results. Many other recognition systems also used these techniques but for Telugu language this are the most suitable techniques.

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