- •Preface
- •Acknowledgments
- •Contents
- •1 Introduction
- •1.1 Auditory Temporal and Spatial Factors
- •1.2 Auditory System Model for Temporal and Spatial Information Processing
- •2.1 Analysis of Source Signals
- •2.1.1 Power Spectrum
- •2.1.2 Autocorrelation Function (ACF)
- •2.1.3 Running Autocorrelation
- •2.2 Physical Factors of Sound Fields
- •2.2.1 Sound Transmission from a Point Source through a Room to the Listener
- •2.2.2 Temporal-Monaural Factors
- •2.2.3 Spatial-Binaural Factors
- •2.3 Simulation of a Sound Field in an Anechoic Enclosure
- •3 Subjective Preferences for Sound Fields
- •3.2.1 Optimal Listening Level (LL)
- •3.2.4 Optimal Magnitude of Interaural Crosscorrelation (IACC)
- •3.3 Theory of Subjective Preferences for Sound Fields
- •3.4 Evaluation of Boston Symphony Hall Based on Temporal and Spatial Factors
- •4.1.1 Brainstem Response Correlates of Sound Direction in the Horizontal Plane
- •4.1.2 Brainstem Response Correlates of Listening Level (LL) and Interaural Crosscorrelation Magnitude (IACC)
- •4.1.3 Remarks
- •4.2.2 Hemispheric Lateralization Related to Spatial Aspects of Sound
- •4.2.3 Response Latency Correlates of Subjective Preference
- •4.3 Electroencephalographic (EEG) Correlates of Subjective Preference
- •4.3.3 EEG Correlates of Interaural Correlation Magnitude (IACC) Changes
- •4.4.1 Preferences and the Persistence of Alpha Rhythms
- •4.4.2 Preferences and the Spatial Extent of Alpha Rhythms
- •4.4.3 Alpha Rhythm Correlates of Annoyance
- •5.1 Signal Processing Model of the Human Auditory System
- •5.1.1 Summary of Neural Evidence
- •5.1.1.1 Physical Characteristics of the Ear
- •5.1.1.2 Left and Right Auditory Brainstem Responses (ABRs)
- •5.1.1.3 Left and Right Hemisphere Slow Vertex Responses (SVRs)
- •5.1.1.4 Left and Right Hemisphere EEG Responses
- •5.1.1.5 Left and Right Hemisphere MEG Responses
- •5.1.2 Auditory Signal Processing Model
- •5.2 Temporal Factors Extracted from Autocorrelations of Sound Signals
- •5.3 Auditory Temporal Window for Autocorrelation Processing
- •5.5 Auditory Temporal Window for Binaural Processing
- •5.6 Hemispheric Specialization for Spatial Attributes of Sound Fields
- •6 Temporal Sensations of the Sound Signal
- •6.1 Combinations of Temporal and Spatial Sensations
- •6.2 Pitch of Complex Tones and Multiband Noise
- •6.2.1 Perception of the Low Pitch of Complex Tones
- •6.2.3 Frequency Limits of Missing Fundamentals
- •6.3 Beats Induced by Dual Missing Fundamentals
- •6.4 Loudness
- •6.4.1 Loudness of Sharply Filtered Noise
- •6.4.2 Loudness of Complex Noise
- •6.6 Timbre of an Electric Guitar Sound with Distortion
- •6.6.3 Concluding Remarks
- •7 Spatial Sensations of Binaural Signals
- •7.1 Sound Localization
- •7.1.1 Cues of Localization in the Horizontal Plane
- •7.1.2 Cues of Localization in the Median Plane
- •7.2 Apparent Source Width (ASW)
- •7.2.1 Apparent Width of Bandpass Noise
- •7.2.2 Apparent Width of Multiband Noise
- •7.3 Subjective Diffuseness
- •8.1 Pitches of Piano Notes
- •8.2 Design Studies of Concert Halls as Public Spaces
- •8.2.1 Genetic Algorithms (GAs) for Shape Optimization
- •8.2.2 Two Actual Designs: Kirishima and Tsuyama
- •8.3 Individualized Seat Selection Systems for Enhancing Aural Experience
- •8.3.1 A Seat Selection System
- •8.3.2 Individual Subjective Preference
- •8.3.3 Distributions of Listener Preferences
- •8.5 Concert Hall as Musical Instrument
- •8.5.1 Composing with the Hall in Mind: Matching Music and Reverberation
- •8.5.2 Expanding the Musical Image: Spatial Expression and Apparent Source Width
- •8.5.3 Enveloping Music: Spatial Expression and Musical Dynamics
- •8.6 Performing in a Hall: Blending Musical Performances with Sound Fields
- •8.6.1 Choosing a Performing Position on the Stage
- •8.6.2 Performance Adjustments that Optimize Temporal Factors
- •8.6.3 Towards Future Integration of Composition, Performance and Hall Acoustics
- •9.1 Effects of Temporal Factors on Speech Reception
- •9.2 Effects of Spatial Factors on Speech Reception
- •9.3 Effects of Sound Fields on Perceptual Dissimilarity
- •9.3.1 Perceptual Distance due to Temporal Factors
- •9.3.2 Perceptual Distance due to Spatial Factors
- •10.1 Method of Noise Measurement
- •10.2 Aircraft Noise
- •10.3 Flushing Toilet Noise
- •11.1 Noise Annoyance in Relation to Temporal Factors
- •11.1.1 Annoyance of Band-Pass Noise
- •11.2.1 Experiment 1: Effects of SPL and IACC Fluctuations
- •11.2.2 Experiment 2: Effects of Sound Movement
- •11.3 Effects of Noise and Music on Children
- •12 Introduction to Visual Sensations
- •13 Temporal and Spatial Sensations in Vision
- •13.1 Temporal Sensations of Flickering Light
- •13.1.1 Conclusions
- •13.2 Spatial Sensations
- •14 Subjective Preferences in Vision
- •14.1 Subjective Preferences for Flickering Lights
- •14.2 Subjective Preferences for Oscillatory Movements
- •14.3 Subjective Preferences for Texture
- •14.3.1 Preferred Regularity of Texture
- •15.1 EEG Correlates of Preferences for Flickering Lights
- •15.1.1 Persistence of Alpha Rhythms
- •15.1.2 Spatial Extent of Alpha Rhythms
- •15.2 MEG Correlates of Preferences for Flickering Lights
- •15.2.1 MEG Correlates of Sinusoidal Flicker
- •15.2.2 MEG Correlates of Fluctuating Flicker Rates
- •15.3 EEG Correlates of Preferences for Oscillatory Movements
- •15.4 Hemispheric Specializations in Vision
- •16 Summary of Auditory and Visual Sensations
- •16.1 Auditory Sensations
- •16.1.1 Auditory Temporal Sensations
- •16.1.2 Auditory Spatial Sensations
- •16.1.3 Auditory Subjective Preferences
- •16.1.4 Effects of Noise on Tasks and Annoyance
- •16.2.1 Temporal and Spatial Sensations in Vision
- •16.2.2 Visual Subjective Preferences
- •References
- •Glossary of Symbols
- •Abbreviations
- •Author Index
- •Subject Index
136 |
7 Spatial Sensations of Binaural Signals |
Fig. 7.10 Relationship between the measured individual scale values of apparent source width (ASW) and the scale values of ASW calculated by Equation (7.5) for each individual. Correlation coefficient r = 0.90 (p < 0.01). Different symbols indicate data obtained by different individual subjects
Table 7.2 Coefficients a and b in Equation (7.5) for estimating the apparent source width (ASW) for each individual listener in Fig. 7.10 and the correlation coefficients between measured and estimated ASWs
Individual |
a |
b |
Correlation coefficient |
|
|
|
|
A |
2.2 |
0.008 |
0.90 |
B |
2.2 |
0.010 |
0.90 |
C |
2.6 |
0.003 |
0.94 |
D |
2.6 |
0.003 |
0.96 |
E |
2.3 |
0.002 |
0.92 |
Average |
2.4 |
0.005 |
0.97 |
|
|
|
|
7.3 Subjective Diffuseness
Scale values for the subjective diffuseness of sounds are described by the representative spatial factor, the interaural crosscorrelation magnitude IACC.
In order to obtain scale values for subjective diffuseness, paired comparisons were conducted using 1/3-octave band-pass Gaussian noise and by varying the horizontal angle of two symmetric reflections (Ando and Kurihara, 1986; Singh et al., 1994). Listeners judged which of two sound fields were perceived to be more diffuse. A remarkable finding is that scale values S of subjective diffuseness are
7.3 Subjective Diffuseness |
137 |
Fig. 7.11 Scale values of subjective diffuseness as a function of the IACC (calculated). Different symbols indicate different frequencies of the 1/3-octave band-pass noise: , 250 Hz; , 500 Hz;, l kHz; •, 2 kHz; , 4 kHz. (____): Regression line by Equation (7.6)
inversely proportional to interaural correlation magnitude IACC and may therefore be reformulated in terms of the 3/2 power of the IACC in a manner similar to that for other subjective preference values (see Section 3.1.4), i.e.,
S = SR ≈ −α(IACC)β |
(7.7) |
where α = 2.9 and β = 3/2.
The results of scale values obtained through paired comparisons together with values calculated using Equation (7.7) are shown as a function of the IACC in Fig. 7.11. There is great variation in the data in the range of the IACC < 0.5, however, no essential difference may be found in the results for different frequencies between 250 Hz and 4 kHz. The scale values of subjective diffuseness, which depend on horizontal angle, are shown in Fig. 7.12, for 1/3-octave band-pass noises with the center frequencies of 250 Hz, 500 Hz, 1 kHz, 2 kHz, and 4 kHz. The scale values for each individual listener are shown in Fig. 7.13. Clearly, the most effective horizontal angles of reflections depend on the frequency range (Fig. 7.14). These are about ±90◦ for the low-frequency range of less than 500 Hz, around ±55◦ for the 1 kHz range (the most important angle for music), and smaller than 18◦ for the 2 and 4 kHz bands. Such directional reflections for each frequency range can be controlled by using a fractal structure for the wall surface, for an example see (Ando, 1998).
138 |
7 Spatial Sensations of Binaural Signals |
Fig. 7.12 Scale values of subjective diffuseness and the IACC as a function of the horizontal angle of incidence to a listener, with 1/3-octave-band noise of center frequencies. (a) 250 Hz. (b) 500 Hz. (c) 1 kHz. (d) 2 kHz. (e) 4 kHz
7.3 Subjective Diffuseness |
139 |
Fig. 7.12 (continued)
Fig. 7.13 Scale values of subjective diffuseness for each individual as a function of the horizontal angle of incidence to a listener, with 1/3-octave-band noise of center frequencies. (a) 250 Hz. (b) 500 Hz. (c) 1 kHz. (d) 2 kHz. (e) 4 kHz. Different symbols indicate data obtained by different individual subjects with their initials
140 |
7 Spatial Sensations of Binaural Signals |
Fig. 7.13 (continued)
7.3 Subjective Diffuseness |
141 |
Fig. 7.14 The optimal horizontal angles of reflections to a listener for each frequency range for the purpose of decreasing the IACC and thus increasing subjective diffuseness. : Angles obtained by the calculated IACC; /: angles obtained by the observed IACC
