@thesis{thesis,
		author={Yabar  Inneke},
		title ={IMPLEMENTASI SPEECH RECOGNITION (PENGENALAN SUARA) PADA SISTEM ABSENSI KARYAWAN},
		year={2007},
		url={https://repository.unikom.ac.id/10374/},
		abstract={In means to react work effisien factor employee absent is sufficient     
 
 
 

important, moreover to link production, salary, achievement etc. tools of     
 
 
 

konvensional absent need many intervensi of employee a part of human resources     
 
 
 

management, honestly employee, this case possible have data manipulation     
 
 
 

absent , if continue control on this proses not surely.     
 
 
 

With absent system Speech Recognition, I hope will decrease step of     
 
 
 

manipulate absent and will help employee a part of human resources     
 
 
 

management to obtain absent data . To implementation this Speech Recognition     
 
 
 

System is used a Hidden Markov Models (HMM) method and a Linear Predictive     
 
 
 

Coding (LPC) method is used to extract the speech parameter.}
		}