Auditory Masking and the Critical Band

1961 ◽  
Vol 33 (4) ◽  
pp. 484-502 ◽  
Author(s):  
Donald D. Greenwood
Keyword(s):  
Critical Band ◽  
Auditory Masking

Auditory Masking and the Critical Band in Atlantic Cod (Gadus morhua)

1969 ◽  
Vol 26 (5) ◽  
pp. 1113-1119 ◽  
Author(s):  
Udo Buerkle
Keyword(s):  
Noise Level ◽  
Gadus Morhua ◽  
Atlantic Cod ◽  
Critical Band ◽  
Frequency Separation ◽  
Auditory Masking ◽  
Masking Noise

Auditory masking was determined for cod by using five half-octave bands as masking stimuli and as signals. For each of 15 cod, masking noise was kept constant at 10 db re 1 microbar in one band while thresholds were determined for signals in all five bands. Results indicate masking to be most pronounced when noise and signal coincide in frequency, and to drop off as frequency separation between noise and signal increases. Masking is calculated in terms of threshold in relation to masking noise level, and varies from about 11 db when signal and noise are in the same band to about −19 db when they are in bands furthest removed from each other. Estimates of critical bands are made from the results.

Auditory Masking

Voice Leading ◽  
2016 ◽  
Author(s):  
David Huron
Keyword(s):  
Auditory System ◽  
Critical Band ◽  
Auditory Masking ◽  
Superiority Effect ◽  
High Voice ◽  
Musical Practices

Auditory masking is described—the phenomenon by which sounds interfere with each other. A key concept is the notion of the critical band. Because masking reduces the effectiveness of the auditory system, it also tends to lead to auditory irritation or annoyance. Masking helps explain three musical practices. First, it explains why chords tend to be spaced with wider intervals in the bass region. Second, due to sensory dissonance, it provides one account of why some harmonic intervals are favored over others. Third, it explains the high-voice superiority effect—suggesting why musicians in nearly every culture tend to place the main melody in the highest voice.

Critical Band Subspace-Based Speech Enhancement Using SNR and Auditory Masking Aware Technique

2007 ◽  
Vol E90-D (7) ◽  
pp. 1055-1062 ◽  
Author(s):  
J.-C. WANG ◽  
H.-P. LEE ◽  
J.-F. WANG ◽  
C.-H. YANG
Keyword(s):  
Speech Enhancement ◽  
Critical Band ◽  
Auditory Masking

PROGRESS IN PHYSIOLOGICAL ACOUSTICS

2013 ◽  
Vol 13 (05) ◽  
pp. 1340007 ◽  
Author(s):  
FUYIN MA ◽  
JIU HUI WU ◽  
HAIYUN HOU
Keyword(s):  
Experimental Testing ◽  
Critical Band ◽  
Simulation Methods ◽  
Acoustic Model ◽  
Analysis Method ◽  
Biological Factors ◽  
Physical Acoustics ◽  
Physiological Acoustics ◽  
Numerical Simulation Methods ◽  
Evaluation Survey

Physiological acoustics is a very hot topic in modern acoustic research, which is to study the hearing mechanism and the utterance of both humans and animals. It could be divided into two main aspects: physical acoustics of the ear and physiological acoustics. In physiological acoustics, there are some common research methods, such as objective experimental testing, subjective feelings evaluation survey statistical method, building the physical acoustic model and numerical simulation methods, etc. The authors are researching the accurate mathematical model of equal loudness curves, critical band and masking effects, by applying the holographic concept with several biological factors which are required to build a standard model. The cochlear emission information should be extracted from wavelet analysis method and two hearing protection technologies are being developed by band shielding.

Dissociation of sensitivity and response bias in children with attention deficit/hyperactivity disorder during central auditory masking.

2002 ◽  
Vol 16 (1) ◽  
pp. 28-34 ◽  
Author(s):  
Joshua I. Breier ◽  
Lincoln C. Gray ◽  
Patricia Klaas ◽  
Jack M. Fletcher ◽  
Barbara Foorman
Keyword(s):  
Attention Deficit Hyperactivity Disorder ◽  
Response Bias ◽  
Attention Deficit ◽  
Auditory Masking ◽  
Hyperactivity Disorder

Efficient acoustic perception for virtual AI agents

2021 ◽  
Vol 4 (3) ◽  
pp. 1-13
Author(s):  
Mike Chemistruck ◽  
Andrew Allen ◽  
John Snyder ◽  
Nikunj Raghuvanshi
Keyword(s):  
Source Code ◽  
Auditory Masking ◽  
Acoustic Perception ◽  
Sound Event ◽  
Complex Scenes

We model acoustic perception in AI agents efficiently within complex scenes with many sound events. The key idea is to employ perceptual parameters that capture how each sound event propagates through the scene to the agent's location. This naturally conforms virtual perception to human. We propose a simplified auditory masking model that limits localization capability in the presence of distracting sounds. We show that anisotropic reflections as well as the initial sound serve as useful localization cues. Our system is simple, fast, and modular and obtains natural results in our tests, letting agents navigate through passageways and portals by sound alone, and anticipate or track occluded but audible targets. Source code is provided.

The Effect Of Auditory Masking Upon Oral Reading Rate

1958 ◽  
Vol 23 (3) ◽  
pp. 250-252 ◽  
Author(s):  
Richard A. Winchester ◽  
Edward W. Gibbons
Keyword(s):  
Oral Reading ◽  
Reading Rate ◽  
Auditory Masking ◽  
Oral Reading Rate
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