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February 9, 2026ITM Web of Conferences0 citationsOpen Access

A Room-Aware Intelligent Framework for Automated Digital Mixer Control Using Acoustic Modeling and OSC-Based Communication

SESamuvel ESaint Joseph's CollegeSSSam Joshua SSaint Joseph's CollegeJEJayanthi. ESaint Joseph's College

Key Points

  • To develop an intelligent system for automated control of digital mixers based on room acoustics and dimensions.
  • Measured or simulated room dimensions
  • Calculated reverberation time (RT60) using the Sabine formula
  • Utilized Open Sound Control (OSC) for real-time communication with the mixer
  • Implemented acoustic modeling for optimal sound adjustments
  • Achieved enhanced audio quality for music and voice
  • Reduced time spent on manual adjustments
  • Demonstrated effective automatic control without human intervention
  • Provided a scalable and economical solution for various environments

Abstract

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 .

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Cite This Study

E et al. (2026) studied this question.

synapsesocial.com/papers/698978dff0ec2af6756e7118https://doi.org/10.1051/itmconf/20268202002
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