Nimeshkumar Patel Reviewer
02 Dec 2025 11:04 AM
Approved
1. Relevance and Originality
The paper presents an important and forward looking exploration of how technological tools can help preserve cultural sound environments that would otherwise be lost. By combining heritage science with computational acoustics and artificial intelligence, the study offers a distinctive perspective that enhances its originality. The emphasis on historic listening experiences adds a meaningful cultural dimension that strengthens the overall relevance.
2. Methodology
The discussion outlines an ambitious technical approach involving three dimensional reconstruction, acoustic simulation, and AI supported analysis. While this framework is appropriate for the subject matter, the methodology section would benefit from clearer explanation of the data preparation steps, the modelling assumptions, and the criteria used to interpret acoustic responses. Increased detail would allow readers to better evaluate the research rigor.
3. Validity and Reliability
Integrating machine learning and deep learning to study resonance, reverberation, and sound propagation is well aligned with contemporary acoustic research. However, the reliability of the outcomes depends on the accuracy of historical architectural information and the precision of the spatial modelling. The study could be strengthened by mentioning whether any cross checking, comparative benchmarking, or validation tests were performed to confirm the model predictions.
4. Clarity and Structure
The writing is thoughtful and presents a cohesive narrative that links cultural importance with technological potential. Even so, the argument becomes dense in places where conceptual discussion and technical detail appear closely intertwined. A clearer division between the cultural motivation, computational workflow, and AI components would further improve clarity and enhance reader engagement.
5. Results and Analysis
The paper communicates the value of AI enabled simulations in understanding past musical and ceremonial sound environments. To deepen the analytical dimension, the authors could share examples of acoustic outputs, visualisations, or comparative insights gained from the case studies. Highlighting even one specific result would make the contribution more tangible and demonstrate the effectiveness of the modelling approach.
Nimeshkumar Patel Reviewer