Development of a Real-Time Speech-to-Text Converter Using Raspberry Pi

Guna Sekhar G., Pavan Kumar K., A. R. Kalairasi

2025

Abstract

This paper primarily discusses the architecture and implementation of a raspy based real time speech-to-text conversion system, useful in cost-optimized portable speech recognition applications. It consists of cheap and widely available hardware components (a microphone and a Raspberry Pi) and open-source software tools to transcribe spoken language into text with a reasonable performance. By using this method, it can be use in broad applications such as Improving accessibility for deaf people, helping physically disabled people to type without hands and Automated transcription of conversations in meetings and lecture halls. Components USB microphone (to capture audio), Real-time voice recognition software (Google speech-to-text API, CMU Sphinx), Display interface, to show the text that was converted the system efficiently performs speech recognition while being inexpensive and portable by using the processing power of the Raspberry Pi. The performance of our evaluation was performed in various scenarios and showed high accuracy and low-latency performance in controlled circumstances, indicating that our system could be potentially deployed in the real world. Rippling across several domains from accessibility and education, to transcription services, this system serves as an effective and low-cost real-time speech processing solution compared to traditional systems.

Paper Citation

in Harvard Style

G. G., K. P. and Kalairasi A. (2025). Development of a Real-Time Speech-to-Text Converter Using Raspberry Pi. In Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25; ISBN 978-989-758-777-1, SciTePress, pages 182-187. DOI: 10.5220/0013909900004919

in Bibtex Style

@conference{icrdicct`2525,
author={Guna G. and Pavan K. and A. Kalairasi},
title={Development of a Real-Time Speech-to-Text Converter Using Raspberry Pi},
booktitle={Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25},
year={2025},
pages={182-187},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013909900004919},
isbn={978-989-758-777-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25
TI - Development of a Real-Time Speech-to-Text Converter Using Raspberry Pi
SN - 978-989-758-777-1
AU - G. G.
AU - K. P.
AU - Kalairasi A.
PY - 2025
SP - 182
EP - 187
DO - 10.5220/0013909900004919
PB - SciTePress