用声音增强技术掩盖噪音，测试新型掩蔽方法效果
Réduire le bruit grâce à la réalité augmentée sonore -- Auditory Concealer
- 提出新型声音掩蔽方法'concealer'，以降低不悦耳声音的感知影响
- 实验显示传统掩蔽法在各条件下均比新方法更有效
- 适用于声学环境优化与人机交互中噪音管理研究者
本报告总结了在IRCAM的STMS实验室为期22周的实习工作。作为ReNAR项目的一部分，旨在开发实时降低室内环境中令人不适声音认知影响的工具，开展了一项初步研究以验证一种名为concealer的新掩蔽方法的可行性和有效性。核心假设是concealer方法在感知愉悦度上优于传统masker方法。通过混合通风噪声与五种水声掩蔽音，在不同水平下生成两种方法的混合声音。评估结果表明，无论噪声源、水声音或强度如何，masker方法始终比concealer方法更具有效性。
原文摘要 · Abstract (English)
This report presents the work done over 22 weeks of internship within the Sound Perception and Design team of the Sciences and Technologies of Music and Sound (STMS) laboratory at the Institute for Research and Coordination in Acoustics/Music (IRCAM). As part of the launch of the project Reducing Noise with Augmented Reality (ReNAR); which aims to create a tool to reduce in real-time the cognitive impact of sounds perceived as unpleasant or annoying in indoor environments; an initial study was conducted to validate the feasibility and effectiveness of a new masking approach called concealer. The main hypothesis is that the concealer approach could provide better results than a masker approach in terms of perceived pleasantness. Mixtures of two noise sources (ventilation) and five masking sounds (water sounds) were generated using both approaches at various levels. The evaluation of the perceived pleasantness of these mixtures showed that the masker approach remains more effective than the concealer approach, regardless of the noise source, water sound, or level used.
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