@article{(Open Science Index):https://publications.waset.org/pdf/6893,
	  title     = { A Smart-Visio Microphone for Audio-Visual Speech Recognition “Vmike“ },
	  author    = {Y. Ni and  K. Sebri},
	  country	= {},
	  institution	= {},
	  abstract     = {The practical implementation of audio-video coupled speech recognition systems is mainly limited by the hardware complexity to integrate two radically different information capturing devices with good temporal synchronisation. In this paper, we propose a solution based on a smart CMOS image sensor in order to simplify the hardware integration difficulties. By using on-chip image processing, this smart sensor can calculate in real time the X/Y projections of the captured image. This on-chip projection reduces considerably the volume of the output data. This data-volume reduction permits a transmission of the condensed visual information via the same audio channel by using a stereophonic input available on most of the standard computation devices such as PC, PDA and mobile phones. A prototype called VMIKE (Visio-Microphone) has been designed and realised by using standard 0.35um CMOS technology. A preliminary experiment gives encouraged results. Its efficiency will be further investigated in a large variety of applications such as biometrics, speech recognition in noisy environments, and vocal control for military or disabled persons, etc.
},
	    journal   = {International Journal of Electronics and Communication Engineering},
	  volume    = {1},
	  number    = {2},
	  year      = {2007},
	  pages     = {157 - 160},
	  ee        = {https://publications.waset.org/pdf/6893},
	  url   	= {https://publications.waset.org/vol/2},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 2, 2007},
	}