Paper Title
Comparision of Machine Learning Algorithms for Speech Recognition of Endangered Gadaba Language
Article Identifiers
Registration ID: IJNRD_192711
Published ID: IJNRD2304580
DOI: http://doi.one/10.1729/Journal.33906
Authors
Badipetla Reshma , S.Ramadevi , Bammidi Himaghna , Gudivada Likhitha , Eda Jerina , D.Kavitha Devi , C.Sushmitha , C.K.Abhishek
Keywords
Feature Extraction, Signal Processing, Machine Learning (ML), HMM (Hidden Markov Model), GMM (Gaussian Mixture Model), Cross Correlation, Gadaba Language, Speech Recognition, Translation
Abstract
We compare the various ML (Machine Learning) based speech recognition algorithms and for a Gadaba Creole Speech recognition and translation towards Language Learning to promote Gadaba Language Revival through technology and sophistication. We study the efficiencies of various feature extraction signal processing techniques such as zero crossing rate, pitch, MFCC, frequency shift for three Machine Learning based Statistical speech recognition Algorithms: HMM (Hidden Markov Model), GMM (Gaussian Mixture Model) Cross Correlation Routines. We have trained the algorithms with 20 Gadaba words towards isolated Gadaba word and phrase recognition and eventual English Translation with POS (Parts of Speech) consideration. The Generalized Speech Recognition Algorithms allowed English Speech Recognition and its Gadaba Translation as well. The accuracies of the Algorithms are studied over various features extracted enabling audio feature selection for Gadaba Language.
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How To Cite (APA)
Badipetla Reshma, S.Ramadevi, Bammidi Himaghna , Gudivada Likhitha, Eda Jerina , D.Kavitha Devi, & C.Sushmitha , C.K.Abhishek (April-2023). Comparision of Machine Learning Algorithms for Speech Recognition of Endangered Gadaba Language. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(4), f666-f675. http://doi.one/10.1729/Journal.33906
Issue
Volume 8 Issue 4, April-2023
Pages : f666-f675
Other Publication Details
Paper Reg. ID: IJNRD_192711
Published Paper Id: IJNRD2304580
Downloads: 000121987
Research Area: Electronics & Communication Engg.Â
Country: Visakhapatnam, Andhra Pradesh, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2304580.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2304580
Crossref DOI: http://doi.one/10.1729/Journal.33906
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