VoiceIDE: Real-Time Code Editing Through Speech Recognition

In this work, we present a voice-controlled code editor developed using lightweight web technologies. Our architecture is significantly simpler than traditional voice programming systems, which often rely on heavy, platform specific frame-works and complex setups; these traditional systems also tend to perform poorly in browser-based or constrained environments. In contrast, our system does not require proprietary engines, extensive configuration, or installation, but instead leverages browser-native Speech Recognition APIs that are inherently robust to varied user speech patterns and environments. We eliminate the need for phoneme modeling, language model training, or platform dependencies. Key to our approach is a highly optimized Java Script command interpretation mechanism and seamless integration with modern browsers, enabling real- time voice-driven code editing. Our system, called Voice Con- trolled Code Editor, outperforms simple browser-based speech systems and achieves high recognition accuracy and real-time responsiveness for structured programming commands in diverse testing scenarios. Voice Controlled Code Editor also provides an accessible and flexible alternative to commercial-grade desktop voice coding tools.

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Publication Details

Published
2025-07-18
DOI
https://doi.org/10.1109/ciacon65473.2025.11189784
Primary Topic
Speech Recognition and Synthesis
Type
article
Field-Weighted Citation Impact
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article

VoiceIDE: Real-Time Code Editing Through Speech Recognition

Banala Saritha, Gaoqi Rao, Linganaboina Pravalika, S. Deekshitha et al.
Speech Recognition and Synthesis
article

VoiceIDE: Real-Time Code Editing Through Speech Recognition

Banala Saritha, Gaoqi Rao, Linganaboina Pravalika, S. Deekshitha, K. Jashvitha, Karthik Vanga
article en

Abstract

In this work, we present a voice-controlled code editor developed using lightweight web technologies. Our architecture is significantly simpler than traditional voice programming systems, which often rely on heavy, platform specific frame-works and complex setups; these traditional systems also tend to perform poorly in browser-based or constrained environments. In contrast, our system does not require proprietary engines, extensive configuration, or installation, but instead leverages browser-native Speech Recognition APIs that are inherently robust to varied user speech patterns and environments. We eliminate the need for phoneme modeling, language model training, or platform dependencies. Key to our approach is a highly optimized Java Script command interpretation mechanism and seamless integration with modern browsers, enabling real- time voice-driven code editing. Our system, called Voice Con- trolled Code Editor, outperforms simple browser-based speech systems and achieves high recognition accuracy and real-time responsiveness for structured programming commands in diverse testing scenarios. Voice Controlled Code Editor also provides an accessible and flexible alternative to commercial-grade desktop voice coding tools.

University College for Women (IN), Artificial Intelligence in Medicine (Canada) (CA)
Openalex Percentile: Top 85%
Speech Recognition and Synthesis
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