English(EN) Supervised Source Separation of Electric Vehicle Interior Noise Using a Hybrid Transformer Architecture

AI模型使用混合Transformer分离电动汽车内部噪声源

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-27 04:00

研究人员开发了一种新颖的混合时域-频谱图Transformer架构，以应对分离电动汽车内部不同噪声源的挑战。该方法旨在将记录的内部声音分解为风噪声、轮胎噪声和动力总成噪声等组成部分，这对于有针对性的声学工程至关重要。该模型在基于物理的生成器合成的数据上进行训练，并结合运行状态信息以提高分离精度，为分析技术系统中的声学贡献提供了一种可行的方法。 AI

影响通过准确识别噪声源，可能实现更精确的车辆和其他技术系统的声学工程。

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报道来源 [1]

arXiv cs.LG TIER_1 English(EN) · Philipp Diel, Zhuo Cao, Arne Hildenbrand, Marco G\"unther, Stefan Pischinger, Hanno Scharr, Steffen Marburg · 2026-10-27 04:00

基于混合Transformer架构的电动汽车内部噪声监督源分离

arXiv:2610.32310v1 Announce Type: cross Abstract: The interior sound of an electric vehicle is a superposition of several distinct noise contributions - wind noise, tire noise, powertrain (electric drive unit and inverter) noise, and auxiliary-drive noise - whose relative balance…

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基于混合Transformer架构的电动汽车内部噪声监督源分离

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