Designing of a Feature Extraction model for Manipuri Language |
Author(s): |
| Nomita Ningthoujam , PG[CSE], RAJIV GANDHI INSTITUTE OF TECHNOLOGY,CHOLANAGAR,RT NAGAR, BANGALORE 560032; Prathima VR, Assistant Professor[CSE],RAJIV GANDHI INSTITUTE OF TECHNOLOGY,CHOLANAGAR,RT NAGAR, BANGALORE 560032 |
Keywords: |
| Intelligent System, Manipuri Speech, MFCC, Feature Vectors |
Abstract |
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Speech Recognition Application has been a high demand with the development of intelligent System. Developing a speech recognition system for regional language is a tedious job for many reasons. The paper proposes designing of feature extraction of Manipuri language for speech retrieval application using MFCC algorithm. The feature extraction algorithm derives feature vectors from acoustic signal of the speech. Using MFCC algorithm the system derives feature vectors of Manipuri speech which is a speaker dependent system. Based on this feature vectors, speech retrieval is done for match of the input speech to the reference speech in the database. |
Other Details |
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Paper ID: IJSRDV4I21635 Published in: Volume : 4, Issue : 2 Publication Date: 01/05/2016 Page(s): 1471-1473 |
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