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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM19332

Sanskrit Voice to Text

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM19332

Volume:

7 |

4 |

Apr 2023

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
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Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

BB

Bijal Bharadva

VJ

Vinit Jha

JN

Jaanvi Nambiar

NS

Nidhi Sanghavi

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Abstract

The Sanskrit language has been an important part of Indian culture and heritage for thousands of years. It is one of the oldest languages in the world and has been used for religious and philosophical purposes throughout history. However, with the advent of modern technology, the use and study of Sanskrit have become more challenging. One of the significant difficulties in studying the language is the lack of efficient tools to analyze and interpret the vast amount of Sanskrit texts available. To address this issue, we developed a Sanskrit speech recognition application that can accurately recognize spoken Sanskrit words and convert them into text format. The project utilizes the latest advances in speech recognition technology and machine learning algorithms to achieve high accuracy and precision in recognizing spoken Sanskrit. The application’s design ensures that it can recognize various dialects and accents of Sanskrit language, making it useful for a diverse range of users. The project’s primary aim is to facilitate the preservation and promotion of the ancient Sanskrit language and culture.

KEYWORDS

Sanskrit ASR Voice to Text HMM CNN ASR Feature Extraction

Cite This Article

Bijal Bharadva, Vinit Jha, Jaanvi Nambiar, Nidhi Sanghavi, "Sanskrit Voice to Text," International Journal of Scientific Research in Engineering and Management, vol. 7, no. 4, Apr 2023. https://doi.org/10.55041/IJSREM19332

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Publication Date

4/22/2023

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Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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