Speech Analysis for Alphabets in Bangla Language: Automatic Speech Recognition
Journal: International Journal of Engineering Research (IJER) (Vol.3, No. 2)Publication Date: 2014-02-01
Authors : Asm SAYEM;
Page : 88-93
Keywords : Automatic Speech Recognition (ASR); Bengali Alphabets; DTW; KNN; MFCC;
Abstract
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.
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Last modified: 2014-02-04 20:54:22