International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 98 - Number 15 |
Year of Publication: 2014 |
Authors: Shaik Shafee, B. Anuradha |
10.5120/17257-7603 |
Shaik Shafee, B. Anuradha . Recognition of Isolated Telugu Words with Soft and Hard Sounds using Hidden Markov Models. International Journal of Computer Applications. 98, 15 ( July 2014), 9-12. DOI=10.5120/17257-7603
In this paper an attempt has been made to recognize isolated Telugu words consisting of hard and soft sounds using Hidden Markov Models (HMM). In Telugu language ,the alphabets ka (? ), cha (? ), ta (? ), tha (? ), pa(? ) are called hard( paruSha- ????) and ga(?), ja(?), da(?), dha(?), ba(?) are called soft (saraLa- ???) consonants [1]. While recognizing such sounds, the chance of recognizing hard sounds as soft and soft sounds as hard is more as they are pronounced with almost equal structure of vocal activity. For Example, T (? ), may be recognized as D (?), and P (? ) as B (?). In case of Telugu word Thammudu means younger brother may be recognized as Dammudu which has different meaning. Different words of this kind being applied to HMM and analyze the success/error ratio using HMMs [2,4].