Active Sound Quality Control Based on Individual Subjective Preference

In recent years, the engine-sound control method has shifted from noise reduction to sound design. Therefore, we have proposed a method to design the engine sound using active sound quality control (ASQC) based on ANC technology. Specifically, we propose an algorithm for amplifying and reducing the engine-specific order components. In addition, the auditory impressions of engine sound controlled by ASQC were investigated using psychoacoustic measurements. The results indicated that the control corresponding to the individual is important for improvements in auditory impressions. So, ASQC was developed to adjust to individual preferences. The individual preferences were connected to each driver's driving pattern using deep learning. Thus, we developed an ASQC system, which enables the automatic generation of individual sound preferences.