用非因果优化提升开放式耳机的定向降噪效果
Spatially Selective Active Noise Control for Open-fitting Hearables with Acausal Optimization
- 引入非因果相对冲激响应优化降噪策略
- 在所有延迟和非因果程度下均优于传统方法
- 适合追求高保真定向降噪的可穿戴设备研发
近年来，主动降噪技术推动了具备空间选择性的听觉设备发展，可在抑制杂音的同时保留特定方向的期望声音。本文提出一种改进的空间选择性主动降噪方法，将非因果相对冲激响应纳入优化过程，显著优于传统的因果设计。通过在无回声环境中使用一对开放式耳戴设备模拟空间定位的语音与噪声源，评估系统性能。评价指标包括语音失真度、降噪效果及信噪比提升，涵盖不同延迟和非因果程度。结果表明，所提非因果优化方法在所有测试场景中均持续优于因果方案，因非因果滤波能更有效刻画期望声源的响应特性。
原文摘要 · Abstract (English)
Recent advances in active noise control have enabled the development of hearables with spatial selectivity, which actively suppress undesired noise while preserving desired sound from specific directions. In this work, we propose an improved approach to spatially selective active noise control that incorporates acausal relative impulse responses into the optimization process, resulting in significantly improved performance over the causal design. We evaluate the system through simulations using a pair of open-fitting hearables with spatially localized speech and noise sources in an anechoic environment. Performance is evaluated in terms of speech distortion, noise reduction, and signal-to-noise ratio improvement across different delays and degrees of acausality. Results show that the proposed acausal optimization consistently outperforms the causal approach across all metrics and scenarios, as acausal filters more effectively characterize the response of the desired source.
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