@article{(Open Science Index):https://publications.waset.org/pdf/10003778,
	  title     = {Speech Enhancement of Vowels Based on Pitch and Formant Frequency},
	  author    = {R. Rishma Rodrigo and  R. Radhika and  M. Vanitha Lakshmi },
	  country	= {},
	  institution	= {},
	  abstract     = {Numerous signal processing based speech enhancement systems have been proposed to improve intelligibility in the presence of noise. Traditionally, studies of neural vowel encoding have focused on the representation of formants (peaks in vowel spectra) in the discharge patterns of the population of auditory-nerve (AN) fibers. A method is presented for recording high-frequency speech components into a low-frequency region, to increase audibility for hearing loss listeners. The purpose of the paper is to enhance the formant of the speech based on the Kaiser window. The pitch and formant of the signal is based on the auto correlation, zero crossing and magnitude difference function. The formant enhancement stage aims to restore the representation of formants at the level of the midbrain. A MATLAB software’s are used for the implementation of the system with low complexity is developed.
},
	    journal   = {International Journal of Computer and Systems Engineering},
	  volume    = {9},
	  number    = {3},
	  year      = {2015},
	  pages     = {877 - 880},
	  ee        = {https://publications.waset.org/pdf/10003778},
	  url   	= {https://publications.waset.org/vol/99},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 99, 2015},
	}