The newly-developed "algorithm for generating personal characteristics" is capable of measuring and automatically generating the optimal acoustic characteristics for each user in a short amount of time. The use of this algorithm minimizes variation in the effect of the out-of-head localization sound field due to differences in the environment of measurement, such as listening room conditions, or incorrect wearing position of headphones. Accordingly, EXOFIELD can adapt to a wide range of measurement and use conditions by performing optimization processing on the transfer function calculated from the measurement results.
EXOFIELD analyzes both direct and reflection sound waves coming from speakers and corrects the canceling out of sound due to the positional relationship between the speakers and listener and the effects of sound reflection in a room. Doing so makes the center sound image clearer, which is a problem with conventional out-of-head localization technology. In addition, sound image localization at the proper center position is achieved by fine-tuning the phase characteristics of each channel during inverse filter generation to cancel the sound field reproduced with headphones when generating the out-of-head localization sound field.
EXOFIELD optimizes the change in frequency characteristics and peak dip caused by incorrect wearing position of the headphones during generation of the inverse filter that cancels the sound field reproduced via headphones. This helps to stabilize variation in the localization effect caused by incorrect wearing position of the headphones.
The technology employs the pulse method for speedy measurement of impulse response and the TSP method in a noisy environment, which allow measurement and generation of personal characteristics to be completed in a short time.