@article{(Open Science Index):https://publications.waset.org/pdf/10009084,
	  title     = {Adaption Model for Building Agile Pronunciation Dictionaries Using Phonemic Distance Measurements},
	  author    = {Akella Amarendra Babu and  Rama Devi Yellasiri and  Natukula Sainath},
	  country	= {},
	  institution	= {},
	  abstract     = {Where human beings can easily learn and adopt pronunciation variations, machines need training before put into use. Also humans keep minimum vocabulary and their pronunciation variations are stored in front-end of their memory for ready reference, while machines keep the entire pronunciation dictionary for ready reference. Supervised methods are used for preparation of pronunciation dictionaries which take large amounts of manual effort, cost, time and are not suitable for real time use. This paper presents an unsupervised adaptation model for building agile and dynamic pronunciation dictionaries online. These methods mimic human approach in learning the new pronunciations in real time. A new algorithm for measuring sound distances called Dynamic Phone Warping is presented and tested. Performance of the system is measured using an adaptation model and the precision metrics is found to be better than 86 percent.},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {12},
	  number    = {6},
	  year      = {2018},
	  pages     = {414 - 418},
	  ee        = {https://publications.waset.org/pdf/10009084},
	  url   	= {https://publications.waset.org/vol/138},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 138, 2018},
	}