Evaluation of audibility of information transmission sounds using auditory saliency model

Yuki Nakatani･Naoko Yorozu･Ikuyo Ohsugi･Hisanobu Ino･Masayuki Watanabe (Mazda)

We constructed an audibility evaluation model of information transmission sounds by adding a detection algorithm for the amplitude envelope of sound to the auditory saliency model. We tested our model on information transmission sounds under in-car noise conditions, and found that it evaluated the subjective audibility more accurately than conventional sound features (e.g., sound pressure level).

Sound Quality Evaluation by SD Method for Passenger Car HVAC Noise

Hideo Takao (Sekiso Corportaion)

The sound quality evaluation of passenger car HVAC noise was performed using SD method using 13 adjective pairs of comparison. For the evaluation sound, 12 types of simulated noises and 4 types of actual vehicle HVAC noises were used. For the psychoacoustic scale, we selected loudness, sharpness, fluctuatiion strength, and roughness, and examined the correlation between each adjective pair. of comparison In addition, from the multiple regression analysis of the evaluation results, we attempted to predict the Unpleasantness - Pleasantness evaluation of the actual vehicle HVAC noise using the values of each psychoacoustic scale.

Development of Piston Slap Noise Evaluation Technology Using Engine Background Noise

Junjiro Nakanishi･Tsunehiro Mori･Masakazu Kikuchi･Ayato Yamamoto･Kazuhiro Matsuoka･Yasuhiro Nonaka (Mazda)

Piston slap noise disrupts the desirable engine sound, necessitating the development of efficient prediction methods for piston slap noise. Conventional prediction models have used piston kinetic energy and cylinder block vibrations as　evaluation indices, but these did not always correlate with auditory evaluations.In this study, an effective detection　method for piston slap noise was established using a prediction model by quantifying the protrusion amount based on cylinder block vibrations and engine background noise (masking vibration). The results showed a strong　correlation with auditory evaluations. Based on these findings, piston slap noise prediction was enabled for newly developed engines.

Subjective Ride Comfort Evaluation Based on CAE Simulation Results

Rabah Hadjit (ESI)

Ride Comfort is a key NVH target when developing automotive vehicles. This paper presents a process to perform subjective Ride Comfort evaluations in a driving simulator using CAE simulation results as input. The CAE model consists of a full vehicle finite-element model loaded with wheel center forces extracted from tests performed on a single tire test stand. The paper includes a description of the process to generate and use the simulation results in the driving simulator. This process helps reduce the reliance on physical prototypes to shorten the vehicle development time.