| Issue |
ITM Web Conf.
Volume 82, 2026
International Conference on NextGen Engineering Technologies and Applications for Sustainable Development (ICNEXTS’25)
|
|
|---|---|---|
| Article Number | 02002 | |
| Number of page(s) | 8 | |
| Section | Communication and Networking | |
| DOI | https://doi.org/10.1051/itmconf/20268202002 | |
| Published online | 04 February 2026 | |
A Room-Aware Intelligent Framework for Automated Digital Mixer Control Using Acoustic Modeling and OSC-Based Communication
1 Dept of Electronics and Communication Engineering, St.Joseph’s College of Engineering, Chennai, India
2 Dept of Electronics and Communication Engineering, St. Joseph’s College of Engineering, Chennai, India
3 Dept of Electronics and Communication Engineering St. Joseph’s College of Engineering
The growing demand to optimize the spaces like classrooms, auditorium, and conference halls makes it impossible to calibrate sound manually, which is time consuming, unreliable, and to a great extent, specialist expertise reliant. This is a study that will be designed to resolve the issue and present an Intelligent Room-Aware Digital Mixer Control System. This system automatically adjusts the mixer settings with regard to the specific size and acoustic factors of the room. The process involves the measurement or simulation of room dimensions, calculation of the reverberated time (RT60) by Sabine formula, and transmission of the commands to a digital mixer in real-time through the Open Sound Control (OSC) protocol. It is aimed at the maximum quality of sound (music and voice) and the minimum time used on adjustments made manually. The suggested system incorporates the room sensing, acoustic modelling and automatic control of mixers into a unified system. The innovation is in the fact that it combines these factors into a scalable and economical and smart package. The advantage of this method is that it does not require human intervention, and all helps to enhance the quality of audio in both educational and professional and IoT settings .
© The Authors, published by EDP Sciences, 2026
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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