- •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
172 |
8 Applications (I) – Music and Concert Hall Acoustics |
Table 8.6 Optimum distances between the performer and the reflector calculated from Equation (8.1) in relation to the value of (τe)min for the music signal played
Distance of the reflector (m)
(τe)min of the music |
Cello soloist |
|
|
|
|
|
Alto-recorder |
|
signal (ms) |
A |
B |
C |
D |
E |
Averaged |
soloist |
|
|
|
|
|
|
|
|
|
|
30 |
3 |
10 |
6 |
8 |
4 |
6 |
|
2 |
50 |
6 |
21 |
13 |
16 |
8 |
13 |
|
4 |
70 |
9 |
(33) |
21 |
(26) |
13 |
20 |
|
6 |
90 |
13 |
(46) |
(30) |
(36) |
18 |
(29) |
|
8 |
Note: The value of τe for alto-recorder soloist was obtained for a long-time ACF (2T = 32 s).
adjustment may be made in the real sound field with the reverberation. In this situation, the total amplitude of the reflections might replace the amplitude of the single reflection.
The most-preferred delay time of a single reflection for each cellist can be calculated by Equation (8.1) with the amplitude of the reflection and the minimum value of the effective duration (τe)min of the running ACF of the music motifs played by each cellist. The scale values of preference for both individual cellists and for global cellists with regard to the delay time of the single reflection can be expressed by such a simple formula, normalizing the delay time by the most-preferred delay time observed for different music motifs.
8.5 Concert Hall as Musical Instrument
When performers on the stage play a musical instrument, the concert hall acts as a second instrument. Let us now discuss what kind of musical expressions the second instrument can produce. In Chapters 6 and 7, we have described temporal sensations related to the temporal factor of the sound field and spatial sensations in relation to the spatial factor. Musical expressions in composition and performance consist of not only temporal expressions but also spatial expressions (Tables 8.7 and 8.8) in a given concert hall (Ando, 2007a).
8.5.1Composing with the Hall in Mind: Matching Music and Reverberation
In music composition, a composer can consider the reverberation time of the spaces in which the music is likely to be performed. For example, Mozart-style motifs at fast tempos might be composed for a guest entry hall in a Court with a reverberation time of about 1.5 s, but not intended for a church with a long reverberation time
8.5 Concert Hall as Musical Instrument |
173 |
Table 8.7 Methods of blending the temporal characteristics of sounds and sound fields in concert halls by controlling effective duration (τe)min value of source signals. Note that effective durations of impulsive sounds and broadband noise tend towards 0, whereas those of sustained periodic sounds equal the duration of the entire note
Composition and |
To make decrease of the |
To make increase of the (τe)min |
performance |
(τe)min value |
value |
Composition |
|
|
Note |
Whole note |
. . . 64th note |
Tempo |
Fast |
Slow |
Frequency component |
High |
Low |
Selection of |
Vocal, speech (consonants) |
Pipe organ |
instruments |
|
|
Performance |
|
|
Piano performance |
Staccato |
Legato, super legato, full pedal |
String instruments and |
Vibrato |
Less vibrato |
vocal |
Fushi-Mawashi (intonation)1 |
|
Vocal |
|
|
|
Grace note |
|
|
|
|
1 Kato et al. (2007b). |
|
|
Table 8.8 Musical composition and performance of temporal and spatial expressions in a given concert hall
Temporal expression |
Spatial expression |
|
|
Composition |
Selection of tempo, note (whole |
|
note, . . . 64th), and selection of |
|
musical instrument, blending ACF |
|
(τe)min of music sources and the |
|
temporal factor of a given concert |
|
hall. To enhance reverberance of a |
|
hall, introduction of tremolos and |
|
rests are effective. |
Performance |
(1) Selection of music programs |
|
performed in a given concert |
|
hall. |
|
(2) Selection of performing |
|
position on the stage for ease |
|
of performance of music |
|
program. |
|
(3) Selection of style such as |
|
vibrato extent, staccato–super |
|
legato for ACF (τe)min of |
|
music source according |
|
to the temporal factor in |
|
a given concert hall. |
(1)Selection of frequency component for the spatial sensation (ASW).
(2)Selection of dynamics (ppp–fff) for subjective diffuseness and/or envelopment.
(1)Selection of performing position on the stage getting small values of IACC at most seating positions.
(2)Control of source strength as an interpretation of music expressing subjective diffuseness, envelopment or “embracement” with full sound-surround of listeners.
174 |
8 Applications (I) – Music and Concert Hall Acoustics |
of over 4s or a lecture room with a short reverberation time of less than 1 s. The scientific mathematical expressions needed for matching source signals with appropriate temporal factors of sound fields are described in Sections 3.2.2 and 3.2.3. For example, when the acceptable reverberation time is defined by the scale value S = −0.1 in reference to S = 0 at the most preferred reverberation time [Tsub]p, then the reverberation time should be restricted to a range of Tsub = 0.5 to 1.3 [Tsub]p.
If the room has a shorter reverberation time than the preferred value [Tsub]p, then the music can be adapted to consist of a rapid movement without any repetitive features, so that the value of (τe)min would then tend to be smaller. For example, introduction of tremolos and rests may enhance the reverberation of the concert hall. On the other extreme, if a music source is a slow tempo and with a long duration of tones − like pipe organ music − then performance space with a long reverberation time would be well blended with this musical composition (Fig. 8.30).
Fig. 8.30 Recommended reverberation times for several music/instrument sound programs
8.5.2Expanding the Musical Image: Spatial Expression and Apparent Source Width
It has been shown that the apparent source width (ASW) may be described by both spatial factors WIACC and IACC as shown in Fig. 7.5 (Sato and Ando, 1999). If the value of the WIACC is large due to the low-frequency component of the music signal particularly below 200 Hz, then the sound source will be perceived as “wide.” For example, The Moldau, composed by Bedrich Smetana (1824–1884), consists of high frequencies in the early portion of the piece, producing a “narrow” image of two
