![]() ![]() Thus MFCC combined with DWT is used as a feature termed as Mel Frequency Wavelet Transform Coefficient (MFWTC) for this work. Studies show that Mel Frequency Cepstral Coefficient (MFCC) give better representation of human auditory system, but at the same time with increased noise, performance of MFCC degrades, which may be reduced by Discrete Wavelet Transform (DWT). ![]() In speech processing, identifying a particular uttered letter consists of two major steps, Speech Feature Extraction and Feature Classification. Thus objectives of this work is to develop a method to identify isolated Bengali letter/alphabet (Swarabarna and Banjanbarna), from uttered sound. ![]() Though some efforts are found for the English language, for regional languages like Bengali, Hindi, Guajarati etc. With the advancement of the voice signal processing, speech to text recognition has become an important area of research. ![]()
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