Auditory perception of sound source velocity

2005 ◽  
Vol 117 (5) ◽  
pp. 3149-3156 ◽  
Author(s):  
Tomasz Kaczmarek
Author(s):  
James Tenney

James Tenney explains the different mechanisms behind the simultaneous and consecutive relationships between pitches using ideas from evolution and neurocognition. He suggests that there are two different aspects of pitch perception and that one of those aspects can also be thought of as multidimensional. In considering such fundamental questions regarding the nature of auditory perception, Tenney refers to the evolution of hearing and considers two complementary if not contradictory things: distinguish between or among sounds issuing from different sound sources, and recognize when two or more sounds—though different—actually arise from a single sound source. The first mechanism is the basis for what Tenney calls the contour aspect of contour aspect of contour pitch perception. The other aspect of pitch perception has to do with the temporal ordering of the neural information. Tenney concludes by proposing a psychoacoustic explanation for contour formation based on the ear's temporal processing.


Perception ◽  
10.1068/p7153 ◽  
2012 ◽  
Vol 41 (2) ◽  
pp. 175-192 ◽  
Author(s):  
Esteban R Calcagno ◽  
Ezequiel L Abregú ◽  
Manuel C Eguía ◽  
Ramiro Vergara

In humans, multisensory interaction is an important strategy for improving the detection of stimuli of different nature and reducing the variability of response. It is known that the presence of visual information affects the auditory perception in the horizontal plane (azimuth), but there are few researches that study the influence of vision in the auditory distance perception. In general, the data obtained from these studies are contradictory and do not completely define the way in which visual cues affect the apparent distance of a sound source. Here psychophysical experiments on auditory distance perception in humans are performed, including and excluding visual cues. The results show that the apparent distance from the source is affected by the presence of visual information and that subjects can store in their memory a representation of the environment that later improves the perception of distance.


2019 ◽  
Vol 105 (5) ◽  
pp. 869-874
Author(s):  
Elisa Burke ◽  
Johannes Hensel

To gather more basic knowledge about both infrasound-perception mechanisms and the annoyance caused by infrasound, it is important to investigate the influence of the interaction between infrasound and sound at frequencies inside the common audio frequency range (audio sound) on the auditory perception. This paper gives a detailed description of a newly developed sound source system allowing simultaneous monaural stimulation of listeners with infrasound and audio-sound stimuli in psychoacoustic experiments. The sound source system covers a frequency range between 4 Hz and 6000 Hz. It can generate infrasound stimuli and audio-sound stimuli up to at least 123 dB SPL and 80 dB SPL, respectively, with inaudible harmonic distortions. Likewise, during simultaneous generation of high-level infrasound and audio sound, residual unwanted modulation frequencies remain imperceptible, owing to special design features. It can be concluded that the sound source system is suitable for investigating the auditory perception of infrasound accompanied by audio sound.


2002 ◽  
Vol 111 (2) ◽  
pp. 1026-1035 ◽  
Author(s):  
Simon Carlile ◽  
Virginia Best
Keyword(s):  

2022 ◽  
Vol 12 (2) ◽  
pp. 832
Author(s):  
Han Li ◽  
Kean Chen ◽  
Lei Wang ◽  
Jianben Liu ◽  
Baoquan Wan ◽  
...  

Thanks to the development of deep learning, various sound source separation networks have been proposed and made significant progress. However, the study on the underlying separation mechanisms is still in its infancy. In this study, deep networks are explained from the perspective of auditory perception mechanisms. For separating two arbitrary sound sources from monaural recordings, three different networks with different parameters are trained and achieve excellent performances. The networks’ output can obtain an average scale-invariant signal-to-distortion ratio improvement (SI-SDRi) higher than 10 dB, comparable with the human performance to separate natural sources. More importantly, the most intuitive principle—proximity—is explored through simultaneous and sequential organization experiments. Results show that regardless of network structures and parameters, the proximity principle is learned spontaneously by all networks. If components are proximate in frequency or time, they are not easily separated by networks. Moreover, the frequency resolution at low frequencies is better than at high frequencies. These behavior characteristics of all three networks are highly consistent with those of the human auditory system, which implies that the learned proximity principle is not accidental, but the optimal strategy selected by networks and humans when facing the same task. The emergence of the auditory-like separation mechanisms provides the possibility to develop a universal system that can be adapted to all sources and scenes.


2016 ◽  
Vol 5 (4) ◽  
pp. 15-20
Author(s):  
Cheol Yong Kang ◽  
Vinayagam Mariappan ◽  
Juphil Cho ◽  
Seon Hee Lee

Perception ◽  
1993 ◽  
Vol 22 (12) ◽  
pp. 1467-1482 ◽  
Author(s):  
Lawrence D Rosenblum ◽  
A Paige Wuestefeld ◽  
Helena M Saldaña

Several studies in the auditory-perception literature hint that listeners may be able to anticipate the time of arrival of an approaching sound source. Two experiments are reported in which listeners judged the time of arrival of an approaching car on the basis of various portions of its auditory signal. Subjects pressed a computer key to indicate when the car would have just passed them, assuming that the car maintained a constant approach velocity. A number of variables were tested including (a) the time between the offset of the signal and the virtual time of passage, (b) duration of the signal, and (c) feedback concerning judgment accuracy. Results indicate that increasing the time between signal offset and virtual time of passage decreases judgment accuracy whereas the actual duration of the signal had no significant effect. Feedback significantly improved performance overall.


2016 ◽  
Vol 24 (4) ◽  
pp. 317-323 ◽  
Author(s):  
G. N. Kuznetsov ◽  
V. M. Kuz’kin ◽  
S. A. Pereselkov ◽  
D. Yu. Prosovetskiy

Author(s):  
Chiara Occhigrossi ◽  
Michael Brosch ◽  
Giorgia Giommetti ◽  
Roberto Panichi ◽  
Giampietro Ricci ◽  
...  

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