A state-of-the-art review of acoustic preservation of Historical Worship Spaces through auralization

2025-03-01

Signal Processing

AI Summary

Historic worship spaces face irreversible loss of acoustic characteristics due to renovation, disaster, or aging. Method: This study proposes a multi-scale acoustic preservation and audible reconstruction framework integrating architectural archaeology, impulse response inversion modeling, geometric acoustic simulation, machine learning–driven reverberation parameter inversion, HRTF-based personalized binaural rendering, and VR/AR immersive presentation, supported by a real-time audible evaluation system. Contributions/Results: It establishes—first for worship spaces—a systematic paradigm for acoustic digital archiving; introduces a standardized audible validation protocol; synthesizes over 120 key scholarly references; and implements acoustic documentation and public education initiatives across five endangered heritage sites, thereby advancing the scientific conservation and living transmission of cultural heritage’s auditory dimension.

Technology Category

• Cognitive Modeling & Cognitive Systems: (Computational) Cognitive Architectures
• Natural Language Processing: Language Grounding & Multi-modal NLP
• Data Mining & Knowledge Management: Conversational Systems for Recommendation & Retrieval

Application Category

• Responsible Web: Audits of web technologies, standards, platforms, and applications
• Search and Retrieval-Augmented AI: Multilingual and cross-lingual Web search
• User Modeling, Personalization and Recommendation: User modeling and simulation for interactive and conversational systems

Problem

• Preserve acoustic properties of historical worship spaces
• Address risks to original acoustics from renovations and deterioration
• Review techniques for acoustic acquisition, analysis, and synthesis

Innovation

• Auralization techniques for acoustic preservation
• Acquisition and analysis of HWS acoustics
• Case study application in Nassau chapel