用双麦克风和维纳滤波提升车内语音质量，降噪更有效。
Improved in-car sound pick-up using multichannel Wiener filter
- 采用双麦克风维纳滤波算法优化语音信号
- 在多种噪声下显著降低回声与背景噪音
- 适合车载语音交互系统开发人员参考
随着汽车电子与传感器技术的发展，多麦克风语音拾取已可用于免提通话和车内语音指令。然而，受限于带宽或处理能力，多麦克风信号处理仍面临挑战。本文研究基于双麦克风系统的多通道维纳滤波算法，旨在提升驾驶员与乘客语音质量，缓解回声引起的陷波效应，并增强背景噪声抑制。通过现代客观指标（如深度降噪语音主观评分）在不同噪声条件下评估性能，同时考察驾乘人员头部移动的影响。结果表明，该方法相比简单麦克风混合有显著改进。
原文摘要 · Abstract (English)
With advancements in automotive electronics and sensors, the sound pick-up using multiple microphones has become feasible for hands-free telephony and voice command in-car applications. However, challenges remain in effectively processing multiple microphone signals due to bandwidth or processing limitations. This work explores the use of the Multichannel Wiener Filter algorithm with a two-microphone in-car system, to enhance speech quality for driver and passenger voice, i.e., to mitigate notch-filtering effects caused by echoes and improve background noise reduction. We evaluate its performance under various noise conditions using modern objective metrics like Deep Noise Suppression Mean Opinion Score. The effect of head movements of driver/passenger is also investigated. The proposed method is shown to provide significant improvements over a simple mixing of microphone signals.
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