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Sanskrit Voice to Text

Sanskrit Voice to Text

Bijal Bharadva¹, Vinit Jha², Jaanvi Nambiar³ , Nidhi Sanghavi⁴

¹Student at Atharva College of engineering, Mumbai

²Student at Atharva College of Engineering, Mumbai

³Student at Atharva college of Engineering, Mumbai

⁴Assistant Professor at Atharva college of Engineering, Mumbai

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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.

Key Words:  Sanskrit ASR, Voice to Text, HMM, CNN, ASR, Feature Extraction