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461 results on '"Chakraverty, Snehashish"'

4. Fractional Legendre Kernel Functions: Theory and Application

Author

Azmoon, Amirreza, Chakraverty, Snehashish, Kumar, Sunil, Gowda, G. D. Veerappa, Editor-in-Chief, Kesavan, S., Editor-in-Chief, Nekka, Fahima, Editor-in-Chief, Khan, Akhtar A., Editorial Board Member, Rangarajan, Govindan, Editorial Board Member, Balachandran, K., Editorial Board Member, Sreenivasan, K. R., Editorial Board Member, Brokate, Martin, Editorial Board Member, Nashed, M. Zuhair, Editorial Board Member, Gupta, N. K., Editorial Board Member, Zahra, Noore, Editorial Board Member, Manchanda, Pammy, Editorial Board Member, Lozi, René Pierre, Editorial Board Member, Aslan, Zafer, Editorial Board Member, Rad, Jamal Amani, editor, Parand, Kourosh, editor, and Chakraverty, Snehashish, editor

Published
2023
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12. Precise Detection of Speech Endpoints Dynamically: A Wavelet Convolution based approach

Author

Roy, Tanmoy, Marwala, Tshilidzi, and Chakraverty, Snehashish

Subjects
Electrical Engineering and Systems Science - Audio and Speech Processing
Abstract

Precise detection of speech endpoints is an important factor which affects the performance of the systems where speech utterances need to be extracted from the speech signal such as Automatic Speech Recognition (ASR) system. Existing endpoint detection (EPD) methods mostly uses Short-Term Energy (STE), Zero-Crossing Rate (ZCR) based approaches and their variants. But STE and ZCR based EPD algorithms often fail in the presence of Non-speech Sound Artifacts (NSAs) produced by the speakers. Algorithms based on pattern recognition and classification techniques are also proposed but require labeled data for training. A new algorithm termed as Wavelet Convolution based Speech Endpoint Detection (WCSEPD) is proposed in this article to extract speech endpoints. WCSEPD decomposes the speech signal into high-frequency and low-frequency components using wavelet convolution and computes entropy based thresholds for the two frequency components. The low-frequency thresholds are used to extract voiced speech segments, whereas the high-frequency thresholds are used to extract the unvoiced speech segments by filtering out the NSAs. WCSEPD does not require any labeled data for training and can automatically extract speech segments. Experiment results show that the proposed algorithm precisely extracts speech endpoints in the presence of NSAs., Comment: 25 Pages

Published
2018
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23. Preliminaries

Author

Chakraverty, Snehashish, Rout, Saudamini, Chakraverty, Snehashish, and Rout, Saudamini

Published
2020
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28. Introduction

Author

Chakraverty, Snehashish, Rout, Saudamini, Chakraverty, Snehashish, and Rout, Saudamini

Published
2020
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33. Analyzing wave structure and bifurcation in geophysical Boussinesq-type equations.

Author

Sahoo, Mrutyunjaya and Chakraverty, Snehashish

Abstract

This article investigates the traveling wave solution for a geophysical Boussinesq-type equation that models equatorial tsunami waves. The discussed structure exhibits explicit traveling wave solutions characterized by speeds surpassing the linear propagation speed and small amplitude wave near-field variables. A combination of traveling wave transformation, tanh method, extended tanh method, and a modified form of extended tanh method are implemented, leading to some new traveling wave solutions for the referred nonlinear model. Through the appropriate selection of parameters, the research employs two-dimensional, three-dimensional, and contour plots to showcase the characteristics of specific solutions. The presented visual representation serves as an efficient means to understand the nature of these solutions. This research further extends its investigation by transforming the considered equation into a planar dynamical structure. Through this transformation, all potential phase portraits of the dynamical system are thoroughly examined, utilizing the theory of bifurcation. In addition, this work investigates the modulation of instability in the governing equation using the linear stability analysis function. Importantly, all the newly derived solutions conform to the main equation when substituted into it. The obtained results demonstrate the effectiveness, conciseness, and efficiency of the applied techniques. These strategies have the potential to be useful in scrutinizing more complex models that appear in modern science and engineering. [ABSTRACT FROM AUTHOR]

Published
2024
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37. Hebbian Learning Rule

Author

Chakraverty, Snehashish, Sahoo, Deepti Moyi, Mahato, Nisha Rani, Chakraverty, Snehashish, Sahoo, Deepti Moyi, and Mahato, Nisha Rani

Published
2019
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41. Perceptron Learning Rule

Author

Chakraverty, Snehashish, Sahoo, Deepti Moyi, Mahato, Nisha Rani, Chakraverty, Snehashish, Sahoo, Deepti Moyi, and Mahato, Nisha Rani

Published
2019
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42. Defuzzification

Author

Chakraverty, Snehashish, Sahoo, Deepti Moyi, Mahato, Nisha Rani, Chakraverty, Snehashish, Sahoo, Deepti Moyi, and Mahato, Nisha Rani

Published
2019
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43. Fuzzy Functions

Author

Chakraverty, Snehashish, Sahoo, Deepti Moyi, Mahato, Nisha Rani, Chakraverty, Snehashish, Sahoo, Deepti Moyi, and Mahato, Nisha Rani

Published
2019
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44. Fuzzy Relations

Author

Chakraverty, Snehashish, Sahoo, Deepti Moyi, Mahato, Nisha Rani, Chakraverty, Snehashish, Sahoo, Deepti Moyi, and Mahato, Nisha Rani

Published
2019
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45. Fuzzy Sets

Author

Chakraverty, Snehashish, Sahoo, Deepti Moyi, Mahato, Nisha Rani, Chakraverty, Snehashish, Sahoo, Deepti Moyi, and Mahato, Nisha Rani

Published
2019
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46. Fuzzy Numbers

Author

Chakraverty, Snehashish, Sahoo, Deepti Moyi, Mahato, Nisha Rani, Chakraverty, Snehashish, Sahoo, Deepti Moyi, and Mahato, Nisha Rani

Published
2019
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47. Intervals

Author

Chakraverty, Snehashish, Sahoo, Deepti Moyi, Mahato, Nisha Rani, Chakraverty, Snehashish, Sahoo, Deepti Moyi, and Mahato, Nisha Rani

Published
2019
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49. Advancements and Role of Emotion Recognition in the 4th Industrial Revolution

Author

Roy, Tanmoy, Marwala, Tshilidzi, Chakraverty, Snehashish, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zhang, Junjie James, Series Editor, Doorsamy, Wesley, editor, Paul, Babu Sena, editor, and Marwala, Tshilidzi, editor

Published
2020
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