A practical prediction method of psychological response to arbitrary non-white random noise based on simplified patterns of membership functions

In psychological noise evaluation, the fuzziness caused by the human subjective judgment for the acoustical stimulus essentially exists. By paying special attention to the fuzziness of the subjective impression, the categorized psychological evaluation is grasped quantitatively as the fuzzy event. That is, the so-called membership function in the field of fuzzy set theory is used as a method for discussing the relationship between the objective acoustical stimulus and the subjective human response. The set of eight simplified patterns of membership functions is first established by using the data obtained from an actual psychological experiment in the case when the test subjects are exposed to the octave-band-limited white noise with center frequency fcK (K = 1, 2, …, 8). Next, the membership functions for the psychological impression are estimated by use of the above set of eight simplified patterns, in a case when the test subjects are exposed to an arbitrary non-white random noise. Further, a method for evaluating the psychological response is proposed by using the concept of the fuzzy probability. Finally, the validity and the usefulness of the proposed method are confirmed experimentally by applying it to the actually observed data.

[1]  L. Zadeh Probability measures of Fuzzy events , 1968 .

[2]  U. J. Kurze,et al.  Statistics of road traffic noise , 1971 .

[3]  Garner Wr,et al.  Context effects and the validity of loudness scales. , 1954 .

[4]  D. E. Blumenfeld,et al.  EFFECTS OF HEADWAY DISTRIBUTIONS ON SECOND ORDER PROPERTIES OF TRAFFIC NOISE , 1975 .

[5]  D. R. Johnson,et al.  The evaluation of noise from freely flowing road traffic , 1968 .

[6]  Yuichi Kato,et al.  A STATISTICAL METHOD OF EVALUATING THE SOUND INSULATION EFFECT OF A SINGLEWALL , 1991 .

[7]  Shizuma Yamaguchi,et al.  A PREDICTION METHOD OF NON-STATIONARY ROAD TRAFFIC NOISE BASED ON FLUCTUATION PATTERNS OF AN AVERAGE NUMBER OF FLOWING VEHICLES , 1989 .

[8]  Kozo Hiramatsu,et al.  Investigations on road traffic noise based on an exponentially distributed vehicles model—single line flow of vehicles with same acoustic power , 1974 .

[9]  A H Marcus Theoretical prediction of highway noise fluctuations. , 1974, The Journal of the Acoustical Society of America.

[10]  L E Marks,et al.  Binaural summation of the loudness of pure tones. , 1978, The Journal of the Acoustical Society of America.

[11]  K. Hiramatsu,et al.  The effect of sound duration on annoyance , 1978 .

[12]  E. Zwicker,et al.  Dependence of binaural loudness summation on interaural level differences, spectral distribution, and temporal distribution. , 1991, Journal of the Acoustical Society of America.

[13]  Tetsuro Saeki,et al.  A psychological evaluation method for fluctuating random noise based on fuzzy set theory , 1995 .

[14]  Mitsuo Ohta,et al.  A practical prediction method for the stochastic insulation effect of a sound barrier with arbitrary random noise excitation , 1984 .