Detecting abnormal sounds during vehicle running condition is important to find out the vehicle’s problems at the early stage. In the mass production process, the detection test is generally carried out by the inspector. However, continuous inspection by a human for long time is hard and miss false inspection may occur. In addition, normal running noise, such as road noise, deteriorates the inspection accuracy. Therefore, an automatic accurate abnormal sound detection method under the normal noise is necessary to improve the detection accuracy with small man-hour. Furthermore, if the method has an ability to localize the abnormal sound direction, the countermeasure also becomes easy. In this study, we considered the noise detection method using machine learning with a noise reduction method and attempted the noise direction using two microphones. As a fundamental study, we applied these methods in an open room and the result showed that the method could detect the abnormal sound under normal noise condition and indicate the direction well in the simple verification test.