ISSN 2394-5125
 

Review Article 


RECOGNIZING SPEECH SIGNAL-TO-TEXT USING DEEP NEURAL NETWORK AND OPPOSITION BASED MONARCH BUTTERFLY OPTIMIZATION (DNN-OMBO)

N.P. Lavanyakumari, M.P.Rao, P.S.V. Subbarao.

Abstract
The goal of this research work is to identify isolated speech signal using Deep Neural Networks (DNN) technique. For this, different verses enunciated by diverse folks are deliberated as input speech signs. The characteristics of these signs are mined by applying Mel Frequency Cepstral Coefficients (MFCC). The mined features are then inputted to the DNN for training. This paper uses the Opposition based Monarch Butterfly Optimization (OMBO) algorithm for optimizing the weight values of DNN. The performance of the proposed DNN-OMBO algorithm has been compared with the optimization algorithms MBO, PSO, and GA. Experimental results show that DNN-OMBO achieves the highest accuracy with the lowest convergence time when compared to other algorithms.

Key words: Speech Recognition, Feature Extraction, Training, Deep Neural Networks (DNN), Monarch Butterfly Optimization (MBO), Mel Frequency Cepstral Coefficients (MFCC).


 
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Pubmed Style

N.P. Lavanyakumari, M.P.Rao, P.S.V. Subbarao. RECOGNIZING SPEECH SIGNAL-TO-TEXT USING DEEP NEURAL NETWORK AND OPPOSITION BASED MONARCH BUTTERFLY OPTIMIZATION (DNN-OMBO). JCR. 2020; 7(4): 774-781. doi:10.31838/jcr.07.04.145


Web Style

N.P. Lavanyakumari, M.P.Rao, P.S.V. Subbarao. RECOGNIZING SPEECH SIGNAL-TO-TEXT USING DEEP NEURAL NETWORK AND OPPOSITION BASED MONARCH BUTTERFLY OPTIMIZATION (DNN-OMBO). http://www.jcreview.com/?mno=96107 [Access: March 31, 2020]. doi:10.31838/jcr.07.04.145


AMA (American Medical Association) Style

N.P. Lavanyakumari, M.P.Rao, P.S.V. Subbarao. RECOGNIZING SPEECH SIGNAL-TO-TEXT USING DEEP NEURAL NETWORK AND OPPOSITION BASED MONARCH BUTTERFLY OPTIMIZATION (DNN-OMBO). JCR. 2020; 7(4): 774-781. doi:10.31838/jcr.07.04.145



Vancouver/ICMJE Style

N.P. Lavanyakumari, M.P.Rao, P.S.V. Subbarao. RECOGNIZING SPEECH SIGNAL-TO-TEXT USING DEEP NEURAL NETWORK AND OPPOSITION BASED MONARCH BUTTERFLY OPTIMIZATION (DNN-OMBO). JCR. (2020), [cited March 31, 2020]; 7(4): 774-781. doi:10.31838/jcr.07.04.145



Harvard Style

N.P. Lavanyakumari, M.P.Rao, P.S.V. Subbarao (2020) RECOGNIZING SPEECH SIGNAL-TO-TEXT USING DEEP NEURAL NETWORK AND OPPOSITION BASED MONARCH BUTTERFLY OPTIMIZATION (DNN-OMBO). JCR, 7 (4), 774-781. doi:10.31838/jcr.07.04.145



Turabian Style

N.P. Lavanyakumari, M.P.Rao, P.S.V. Subbarao. 2020. RECOGNIZING SPEECH SIGNAL-TO-TEXT USING DEEP NEURAL NETWORK AND OPPOSITION BASED MONARCH BUTTERFLY OPTIMIZATION (DNN-OMBO). Journal of Critical Reviews, 7 (4), 774-781. doi:10.31838/jcr.07.04.145



Chicago Style

N.P. Lavanyakumari, M.P.Rao, P.S.V. Subbarao. "RECOGNIZING SPEECH SIGNAL-TO-TEXT USING DEEP NEURAL NETWORK AND OPPOSITION BASED MONARCH BUTTERFLY OPTIMIZATION (DNN-OMBO)." Journal of Critical Reviews 7 (2020), 774-781. doi:10.31838/jcr.07.04.145



MLA (The Modern Language Association) Style

N.P. Lavanyakumari, M.P.Rao, P.S.V. Subbarao. "RECOGNIZING SPEECH SIGNAL-TO-TEXT USING DEEP NEURAL NETWORK AND OPPOSITION BASED MONARCH BUTTERFLY OPTIMIZATION (DNN-OMBO)." Journal of Critical Reviews 7.4 (2020), 774-781. Print. doi:10.31838/jcr.07.04.145



APA (American Psychological Association) Style

N.P. Lavanyakumari, M.P.Rao, P.S.V. Subbarao (2020) RECOGNIZING SPEECH SIGNAL-TO-TEXT USING DEEP NEURAL NETWORK AND OPPOSITION BASED MONARCH BUTTERFLY OPTIMIZATION (DNN-OMBO). Journal of Critical Reviews, 7 (4), 774-781. doi:10.31838/jcr.07.04.145





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