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The paper introduces AcoustiVision Pro, an open-source, web-based platform for comprehensive room impulse response (RIR) analysis, addressing the scarcity of accessible tools combining signal processing and visualization in room acoustics. The platform computes twelve acoustic parameters, offers interactive 3D visualizations of early reflections, and checks compliance with international standards. The authors also introduce the RIRMega and RIRMega Speech datasets on Hugging Face, containing thousands of simulated RIRs with metadata, and demonstrate the platform's utility across various acoustic applications.
Visualize and analyze room acoustics like never before with AcoustiVision Pro, an open-source platform that combines rigorous signal processing with intuitive 3D visualizations and compliance checks.
Room acoustics analysis plays a central role in architectural design, audio engineering, speech intelligibility assessment, and hearing research. Despite the availability of standardized metrics such as reverberation time, clarity, and speech transmission index, accessible tools that combine rigorous signal processing with intuitive visualization remain scarce. This paper presents AcoustiVision Pro, an open-source web-based platform for comprehensive room impulse response (RIR) analysis. The system computes twelve distinct acoustic parameters from uploaded or dataset-sourced RIRs, provides interactive 3D visualizations of early reflections, generates frequency-dependent decay characteristics through waterfall plots, and checks compliance against international standards including ANSI S12.60 and ISO 3382. We introduce the accompanying RIRMega and RIRMega Speech datasets hosted on Hugging Face, containing thousands of simulated room impulse responses with full metadata. The platform supports real-time auralization through FFT-based convolution, exports detailed PDF reports suitable for engineering documentation, and provides CSV data export for further analysis. We describe the mathematical foundations underlying each acoustic metric, detail the system architecture, and present preliminary case studies demonstrating the platform's utility across diverse application domains including classroom acoustics, healthcare facility design, and recording studio evaluation.
