FORMULAE DESCRIBING SUBJECTIVE ATTRIBUTES FOR SOUND FIELDS BASED ON A MODEL OF THE AUDITORY-BRAIN SYSTEM

Abstract This article reviews the background of a workable model of the auditory–brain system, and formulae of calculating fundamental subjective attributes derived from the model. The model consists of the autocorrelation mechanisms, the interaural cross-correlation mechanism between the two auditory pathways, and the specialization of the human cerebral hemispheres for temporal and spatial factors of the sound field. Typical fundamental attributes, the apparent source width, the missing fundamental, and the speech intelligibility of sound fields, for example, in opera houses, are described in terms of the orthogonal spatial factors extracted from the interaural cross-correlation function, and the orthogonal temporal factors extracted from the autocorrelation function, respectively. Also, other important subjective attributes of the sound fields, the subjective diffuseness, and subjective preferences of both listeners and performers for single reflection are demonstrated here.

[1]  Juan J. Sendra Computational acoustics in architecture , 1999 .

[2]  Y. Ando,et al.  INDIVIDUAL SUBJECTIVE DIFFUSENESS RESPONSES OF FILTERED NOISE SOUND FIELDS , 1994 .

[3]  Yoichi Ando,et al.  ON THE EFFECTS OF TIME-VARIANT SOUND FIELDS ON SUBJECTIVE PREFERENCE , 2000 .

[4]  Yoichi Ando,et al.  Auditory brainstem response (ABR) in relation to the horizontal angle of sound incidence , 1991 .

[5]  Yoichi Ando,et al.  On the relationship between auditory-evoked potential and subjective preference for sound field , 1987 .

[6]  Yoichi Ando,et al.  On the sound environment for the right and left human hemispheric tasks , 1996 .

[7]  Yoichi Ando,et al.  INDIVIDUAL SUBJECTIVE PREFERENCE OF LISTENERS TO VOCAL MUSIC SOURCES IN RELATION TO THE SUBSEQUENT REVERBERATION TIME OF SOUND FIELDS , 2000 .

[8]  Yoichi Ando,et al.  Perception of coloration in sound fields in relation to the autocorrelation function , 1982 .

[9]  Yoichi Ando,et al.  ON THE ANALYSIS OF AUTOCORRELATION FUNCTION OF α-WAVES ON THE LEFT AND RIGHT CEREBRAL HEMISPHERES IN RELATION TO THE DELAY TIME OF SINGLE SOUND REFLECTION , 1996 .

[10]  Y. Ando,et al.  Effects of interaural cross‐correlation function on subjective attributes , 1996 .

[11]  Yoichi Ando,et al.  ON THE RELATIONSHIP BETWEEN THE AUTOCORRELATION FUNCTION OF THE α-WAVES ON THE LEFT AND RIGHT HEMISPHERES AND SUBJECTIVE PREFERENCE FOR THE REVERBERATION TIME OF MUSIC SOUND FIELD , 1996 .

[12]  Yoichi Ando,et al.  On the auditory-evoked potential in relation to the IACC of sound field , 1987 .

[13]  Yoichi Ando,et al.  Subjective preference in relation to objective parameters of music sound fields with a single echo , 1977 .

[14]  Yoichi Ando,et al.  On the relationship between the autocorrelation function of continuous brain waves and the subjective preference of the sound field in change of the IACC , 1996 .

[15]  Yoichi Ando,et al.  SUBJECTIVE PREFERENCE OF CELLISTS FOR THE DELAY TIME OF A SINGLE REFLECTION IN A PERFORMANCE , 2000 .

[16]  Yoichi Ando Architectural Acoustics: Blending Sound Sources, Sound Fields, and Listeners , 1998 .

[17]  Y Ando,et al.  Effects of a single reflection with varied horizontal angle and time delay on speech intelligibility. , 1991, The Journal of the Acoustical Society of America.

[18]  T. Houtgast,et al.  Predicting speech intelligibility in rooms from the modulation transfer function, I. General room acoustics , 1980 .

[19]  F. Wightman The pattern-transformation model of pitch. , 1973, The Journal of the Acoustical Society of America.

[20]  Takeshi Watanabe,et al.  Electric responses of auditory neurons in cat to sound stimulation. , 1958 .

[21]  Y Ando,et al.  Nonlinear response in evaluating the subjective diffuseness of sound fields. , 1986, The Journal of the Acoustical Society of America.