@article{(Open Science Index):https://publications.waset.org/pdf/334,
	  title     = {Assamese Numeral Corpus for Speech Recognition using Cooperative ANN Architecture},
	  author    = {Mousmita Sarma and  Krishna Dutta and  Kandarpa Kumar Sarma},
	  country	= {},
	  institution	= {},
	  abstract     = {Speech corpus is one of the major components in a
Speech Processing System where one of the primary requirements
is to recognize an input sample. The quality and details captured
in speech corpus directly affects the precision of recognition. The
current work proposes a platform for speech corpus generation using
an adaptive LMS filter and LPC cepstrum, as a part of an ANN
based Speech Recognition System which is exclusively designed to
recognize isolated numerals of Assamese language- a major language
in the North Eastern part of India. The work focuses on designing an
optimal feature extraction block and a few ANN based cooperative
architectures so that the performance of the Speech Recognition
System can be improved.},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {3},
	  number    = {4},
	  year      = {2009},
	  pages     = {1017 - 1026},
	  ee        = {https://publications.waset.org/pdf/334},
	  url   	= {https://publications.waset.org/vol/28},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 28, 2009},