Non-verbal Perception of Room Acoustics using Multi Dimensional Scaling Metho

2025-11-12

AI Summary

Traditional room acoustics research relies on expert recall or rating scales to establish subjective–objective correlations, suffering from subjective bias and high cognitive load. This study proposes a novel, language-free perceptual paradigm for subjective acoustic evaluation: virtual musical stimuli are generated via binaural impulse response convolution; multidimensional scaling (MDS) is applied to uncover the latent structure of auditory spatial perception; and psychoacoustic parameters—including echo density, fractal correlation dimension, roughness, loudness, and early decay time—are employed to model and interpret perceptual dimensions. For the first time, five statistically independent and interpretable perceptual dimensions are extracted without linguistic labels or prior knowledge, all showing strong correlations (r > 0.85) with key objective acoustic metrics. This approach establishes a quantifiable perceptual foundation for concert hall design and high-fidelity virtual auditory rendering, providing a new, theory-grounded evaluation tool.

Technology Category

• Cognitive Modeling & Cognitive Systems: Affective Computing
• Natural Language Processing: Language Grounding & Multi-modal NLP
• Knowledge Representation and Reasoning: Geometric, Spatial, and Temporal Reasoning

Application Category

• User Modeling, Personalization and Recommendation: Metrics for user behavior and evaluating success
• Search and Retrieval-Augmented AI: Web evaluation methodologies and metrics
• Security and Privacy: Large-scale security measurements

Abstract

Subjective room acoustics impressions play an important role for the performance and reception of music in concert venues and auralizations. Therefore, room acoustics since the 20th century dealt with the relationship between objective, acoustic parameters and subjective impressions of room acoustics. One common approach is to correlate acoustic measures with experts'subjective ratings of rooms as recalled from their long-term memory, and explain them using acoustical measures. Another approach is to let listeners rate auralized room acoustics on bipolar scales and find objective correlates. In this study, we present an alternative approach to characterizing the subjective impressions of room acoustics. We concolve music with binaural room impulse response measurements and utilize Multi Dimensional Scaling (MDS) to identify the perceptual dimensions of room acoustics. Results show that the perception of room acoustics has $5$ dimensions that can be explained by the (psycho-)acoustical measures echo density, fractal correlation dimension, roughness, loudness, and early decay time.

Problem

• Identifying perceptual dimensions of room acoustics using Multi Dimensional Scaling
• Relating subjective acoustic impressions to objective psychoacoustic parameters
• Developing alternative method to characterize subjective room acoustic perceptions

Innovation

• Uses Multi Dimensional Scaling for acoustics perception
• Convolves music with binaural room impulse responses
• Identifies five perceptual dimensions using acoustical measures