@article{(Open Science Index):https://publications.waset.org/pdf/5779,
	  title     = {End Point Detection for Wavelet Based Speech Compression},
	  author    = {Jalal Karam},
	  country	= {},
	  institution	= {},
	  abstract     = {In real-field applications, the correct determination of voice segments highly improves the overall system accuracy and minimises the total computation time. This paper presents reliable measures of speech compression by detcting the end points of the speech signals prior to compressing them. The two different compession schemes used are the Global threshold and the Level- Dependent threshold techniques. The performance of the proposed method is tested wirh the Signal to Noise Ratios, Peak Signal to Noise Ratios and Normalized Root Mean Square Error parameter measures.
},
	    journal   = {International Journal of Electrical and Computer Engineering},
	  volume    = {2},
	  number    = {1},
	  year      = {2008},
	  pages     = {82 - 85},
	  ee        = {https://publications.waset.org/pdf/5779},
	  url   	= {https://publications.waset.org/vol/13},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 13, 2008},
	}