%0 Journal Article
%T Speech Analysis For Alphabets In Bangla Language: Automatic Speech Recognition
%A Asm SAYEM
%J International Journal of Engineering Research
%V 3
%N 2
%P 88-93
%D 2014
%I IJER
%X This paper presents a technique for recognizing 
spoken letter in Bengali Language. We first derive feature 
from spoken letter. Mel-frequency cepstral coefficient 
(MFCC) has been used to characterize a feature. Dynamic 
time warping (DTW) employed to calculate the distance of an 
unknown letter with the stored ones. K-nearest neighbors 
(KNN) algorithm is used to improve accuracy in noisy 
environment.
%K Automatic Speech Recognition
%K MFCC
%K DTW
%K KNN
%U http://www.ijer.in/ijer/publication/v3s2/IJER_2014_211.pdf