Replication Data for: A Domain Knowledge Informed Approach for Anomaly Detection of Electric Vehicle Interior Sounds
Description
This dataset contains automotive cabin sounds generated using advanced sound synthesis techniques for the purpose of sound quality assessment. It includes both healthy and faulty data, with faults categorized into five classes: Imbalance, Modulation, Whine, Wind, and PWM. All audio files are provided in .wav format. The dataset is suitable for tasks such as anomaly detection, fault classification, and perceptual sound quality evaluation in automotive environments.
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Tags
- electric-vehicle-interior-sound
- anomaly-detection