Implementation of Real-Time Audio-to-Text Conversion and Processing for Seamless Transformation in Classroom Environment


Authors : Likith P; Sahana N D; Puneeth P; Niranthar M; Aruna M G

Volume/Issue : Volume 9 - 2024, Issue 9 - September


Google Scholar : https://tinyurl.com/yj54nnkm

Scribd : https://tinyurl.com/4bje9t6s

DOI : https://doi.org/10.38124/ijisrt/IJISRT24SEP1335

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.


Abstract : In modern educational settings, ensuring that all students effectively comprehend lecture content is a significant challenge, particularly when language barriers and varying levels of cognitive processing ability come into play. Traditional classroom instruction often fails to accommodate the diverse needs of all learners, leading to gaps in understanding and academic performance. This research explores the implementation of a real-time audio transcription system as a solution to enhance classroom inclusivity and comprehension. By leveraging mobile technology, students can access live speech-to-text transcriptions of lectures directly on their devices. This system is designed to assist students who struggle with listening due to language differences, hearing impairments, or other cognitive challenges. The study delves into the technological framework of the transcription service, evaluating its accuracy, latency, and usability. It also considers the practical implications of integrating such technology into various classroom settings, from elementary schools to higher education institutions. Through surveys and interviews with students and teachers, the research assesses the impact of live transcription on student engagement, participation, and academic performance. Preliminary findings suggest that live audio transcription can significantly bridge the comprehension gap, offering a practical tool to foster a more inclusive and effective learning environment. Additionally, the study explores potential challenges and solutions for widespread implementation, aiming to provide a comprehensive analysis of the benefits and limitations of this innovative educational tool.

References :

  1. Text to Speech Conversion using Raspberry - PI Vinaya Phutak, Richa Kamble, Sharmila Gore, Minal Alave, R.R.Kulkarni Department of Electronics and Telecom- munication Engineering
  2. “Internet of things applications using Raspberry-Pi: asurveyKhalid M. Hosny1, Amal Magdi1, Ahmad Salah2, Osama El-Komy1,Nabil A. Lashin11Department of Infor- mation Technology, Zagazig University, Zagazig, Egypt 2Department of Computer Science, Zagazig University, Zagazig, Egypt.
  3. IoT Application Development Based on Java and Raspberry Pi by Zheng Lu and Xing Liu, 2021 IEEE 12th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON).
  4. Vietnamese Voice2Text: A Web Application for Whisper Implementation in Vietnamese Automatic Speech Recognition Tasks” by Quangphuoc Nguyen, Ngocminh Nguyen, Thanhluan Dang, and Vanha Tran.
  5. The implementation of Speech to Text Conversion Using Hidden Markov Model by A. Elakkiya, K. Jaya Surya, Konduru Venkatesh, and S. Aakash.
  6. The Developing of the System for Automatic Audio to Text Conversion Oleh Basystiuk, Natalya Shakhovska, Violetta Bilynska, Oleksij Syvokon, Oleksii Shamuratov, Volodymyr Kuchkovskiy.
  7. Self-Supervised Audio-and-Text Pre-training with Extremely Low-Resource Parallel Data Authors Yu Kang TAL Education Group, Tianqiao Liu TAL Education Group, Hang Li TAL Education Group, Yang Hao TAL Education Group, Wenbiao Ding TAL Education Group, Tencent.
  8. Different Methods Review for Speech to Text and Text to Speech Conversion by Deep Kothadiya Post Graduate Student MIT, Nitin Pise, PhD Professor MIT, Mangesh Bedekar Professor MIT, International Journal of Computer Applications September 2020.
  9. Speech to Text Translation Enabling Multilingualism by Shahana Bano, Pavuluri Jithendra, Gorsa Lakshmi Niharika and Yalavarthi Sikhi - Department Of CSE, Koneru Lakshmaiah Education Foundation, Vaddeswaram, India - 2020 IEEE International Conference for Innovation in Technology (INOCON).

In modern educational settings, ensuring that all students effectively comprehend lecture content is a significant challenge, particularly when language barriers and varying levels of cognitive processing ability come into play. Traditional classroom instruction often fails to accommodate the diverse needs of all learners, leading to gaps in understanding and academic performance. This research explores the implementation of a real-time audio transcription system as a solution to enhance classroom inclusivity and comprehension. By leveraging mobile technology, students can access live speech-to-text transcriptions of lectures directly on their devices. This system is designed to assist students who struggle with listening due to language differences, hearing impairments, or other cognitive challenges. The study delves into the technological framework of the transcription service, evaluating its accuracy, latency, and usability. It also considers the practical implications of integrating such technology into various classroom settings, from elementary schools to higher education institutions. Through surveys and interviews with students and teachers, the research assesses the impact of live transcription on student engagement, participation, and academic performance. Preliminary findings suggest that live audio transcription can significantly bridge the comprehension gap, offering a practical tool to foster a more inclusive and effective learning environment. Additionally, the study explores potential challenges and solutions for widespread implementation, aiming to provide a comprehensive analysis of the benefits and limitations of this innovative educational tool.

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