COMPARITIVE STUDY OF VARIOUS DISTANCE MEASURES FOR ISOLATED SPEECH RECOGNITION APPLICATION
Journal: International Journal of Engineering Sciences & Research Technology (IJESRT) (Vol.4, No. 6)Publication Date: 2015-06-30
Authors : Akash Prakash; Divyankitha M.Urs; Lahari S; Preetish H.S; M. A. Anusuya;
Page : 961-972
Keywords : Speech recognition; acoustic method; Vector Quantization; Euclidean Distance; City Block Dist;
Abstract
Speech recognition applications are becoming common these days as many of the modern devices designed are user - friendly for the convenience of general public. Speaking or communicating directly with the machine to achieve desired objectives make usage of modern devices easier and convenient. Although many interactive software applications are available, the uses of these applications are limited due to language barriers . Hence, development of speech recognition systems in local languages will help anyone to make use of this technological advancement. In India, speech recognition systems have been developed for many indigenous languages [7]. In this project, we present th e performance analysis of acoustic template method using different distance measures for Kannada language. The main objective of the paper is to show that City Block distance measure has been identified equivalence to Euclidean distance measure. This analy sis shows that for simple speech recognition applications like character or isolated speech recognition, City Block distance measure can also be used.
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