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Journal articles on the topic 'Acoustic identification'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Wróbel, Jakub, and Damian Pietrusiak. "Noise Source Identification in Training Facilities and Gyms." Applied Sciences 12, no. 1 (2021): 54. http://dx.doi.org/10.3390/app12010054.

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This paper deals with noise problems in industrial sites adapted for commercial training venues. The room acoustics of such an object were analyzed in the scope of the reverberation time and potential acoustic adaptation measures are indicated. Identification and classification of noise sources in training facilities and gyms was carried out based on the acoustic measurements. The influence of rubber padding on impact and noise reduction was investigated in the case of chosen noise-intensive exercise activities performed in a previously described acoustic environment. Potential noise reduction

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2

Shen, Lue, Yuxuan Wang, Patrick Wong, and Tyler K. Perrachione. "Acoustic divergence from the training sample determines talker identification accuracy for emotional voices." Journal of the Acoustical Society of America 155, no. 3_Supplement (2024): A264. http://dx.doi.org/10.1121/10.0027444.

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Different emotional states introduce substantial acoustic variations in talkers’ voices. It remains unclear how within-talker variability across emotional states affects listeners' ability to maintain perceptual constancy during talker identification. Here, we investigated (1) how changes in talkers’ emotional state affected talker identification accuracy, (2) how emotional state affected key features of voice acoustics, and (3) how emotion-related changes in these acoustic features affected listeners’ talker identification performance. Forty-eight listeners learned to identify talkers from sp

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3

Stearns, Scott Donaldson. "Acoustic window identification." Journal of the Acoustical Society of America 112, no. 5 (2002): 1744. http://dx.doi.org/10.1121/1.1526596.

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4

Deng, Jiang Hua, Jun Hong Dong, and Guang De Meng. "Sound Source Identification and Acoustic Contribution Analysis Using Nearfield Acoustic Holography." Advanced Materials Research 945-949 (June 2014): 717–24. http://dx.doi.org/10.4028/www.scientific.net/amr.945-949.717.

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The main goal of the present paper is to provide a method of source identification. Firstly, statistically optimal near-field acoustical holography (SONAH) techniques are applied to locate sound sources with the reflected sound field. In the presence of reflection plane parallel and perpendicular to the source plane, the incoming wave and reflected waves are separated based on the acoustic superposition principle and acoustic mirror image principle to satisfy the condition of the sound sources reconstruction using SONAH. Secondly, contribution of noise source to the special field point is anal

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5

Coker, Cecil H., and David R. Fischell. "Acoustic direction identification system." Journal of the Acoustical Society of America 80, no. 5 (1986): 1566. http://dx.doi.org/10.1121/1.394304.

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6

McCullah-Boozer, Megan R., Brooke M. Hinds, Logan T. Mathews, et al. "A comparative analysis of rocket noise recordings from wildlife acoustic monitoring devices." Journal of the Acoustical Society of America 153, no. 3_supplement (2023): A72. http://dx.doi.org/10.1121/10.0018204.

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Remote acoustic recorders are used in wildlife passive acoustical monitoring (PAM) and species identification. Such devices are designed to be relatively low-cost, user-friendly, weather-robust, and operate for extended periods with low maintenance. Usually, the precision of these devices is limited because most applications do not require high-fidelity measurements for typical wildlife PAM applications. However, the relatively low cost and flexibility of deployment beg the question if they can accurately record other noise sources, such as rocket launches. Such a situation calls for an evalua

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Samet, A., M. A. Ben Souf, O. Bareille, M. N. Ichchou, T. Fakhfakh, and M. Haddar. "Structural Source Identification from Acoustic Measurements Using an Energetic Approach." Journal of Mechanics 34, no. 4 (2017): 431–41. http://dx.doi.org/10.1017/jmech.2017.24.

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AbstractAn inverse energy method for the identification of the structural force in high frequency ranges from radiated noise measurements is presented in this paper. The radiation of acoustic energy of the structure coupled to an acoustic cavity is treated using an energetic method called the simplified energy method. The main novelty of this paper consists in using the same energy method to solve inverse structural problem. It consists of localization and quantification of the vibration source through the knowledge of acoustic energy density. Numerical test cases with different measurement po

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Iwatsubo, Takuzo, Shozo Kawamura, and Masahito Kamada. "Identification of Acoustic-Vibratory System by Acoustic Measurement." Shock and Vibration 3, no. 1 (1996): 27–37. http://dx.doi.org/10.1155/1996/925970.

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A new method for reducing ill-conditioning in a class of identification problems is proposed. The key point of the method is that the identified vibration of the sound source is expressed as a superposition of vibration modes. The mathematical property of the coefficient matrix, the practical error expanding ratio, and the stochastic error expanding ratio are investigated in a numerical example. The mode-superposition method is shown to be an effective tool for acoustic-vibratory inverse analysis.

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Gaudette, Jason E., and James A. Simmons. "Linear time-invariant (LTI) modeling for aerial and underwater acoustics." Journal of the Acoustical Society of America 153, no. 3_supplement (2023): A95. http://dx.doi.org/10.1121/10.0018285.

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Most newcomers to acoustic signal processing understand that linear time-invariant (LTI) filters can remove out-of-band noise from time series signals. What many acoustics researchers may not realize is that LTI models can be applied much more broadly, including to non-linear and time-variant systems. This presentation covers an overview of the autoregressive (AR), moving-average (MA), and autoregressive moving-average (ARMA) family of LTI models and their many useful applications in acoustics. Examples include analytic time-frequency processing of multi-component echolocation signals, fractio

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10

Kloser, R. J., T. Ryan, P. Sakov, A. Williams, and J. A. Koslow. "Species identification in deep water using multiple acoustic frequencies." Canadian Journal of Fisheries and Aquatic Sciences 59, no. 6 (2002): 1065–77. http://dx.doi.org/10.1139/f02-076.

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Multifrequency 12, 38, and 120 kHz acoustics were used to identify the dominant fish groups around a deepwater (>600 m) seamount (a known spawning site for orange roughy, Hoplostethus atlanticus) by amplitude mixing of the frequencies. This method showed three distinct acoustic groupings that corresponded to three groups of fishes based on size and swimbladder type: myctophids of total length less than 10 cm, morids and macrourids with lengths >30 cm, and orange roughy with a mean standard length of 36 cm. These three groups were the dominant groups caught in the demersal and pelagic tra

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11

Chen, Nan, Xiaoyu Zhang, Zhi Liu, et al. "Fusion of Acoustic and Vis-NIRS Information for High-Accuracy Online Detection of Moldy Core in Apples." Agriculture 15, no. 11 (2025): 1202. https://doi.org/10.3390/agriculture15111202.

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Moldy core is a common disease of apples, and non-destructive, rapid and accurate detection of moldy core apples is essential to ensure food safety and reduce post-harvest economic losses. In this study, the acoustic method was used for the first time for the online detection of moldy core apples, and we explore the feasibility of integrating acoustic and visible–near-infrared spectroscopy (Vis–NIRS) technologies for precise, real-time detection of moldy core in apples. The sound and Vis–NIRS signals of apples were collected using a novel acoustic online detection device and a traditional Vis–

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12

Korneliussen, Rolf J., Yngve Heggelund, Inge K. Eliassen, and Geir O. Johansen. "Acoustic species identification of schooling fish." ICES Journal of Marine Science 66, no. 6 (2009): 1111–18. http://dx.doi.org/10.1093/icesjms/fsp119.

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Abstract Korneliussen, R. J., Heggelund, Y., Eliassen, I. K., and Johansen, G. O. 2009. Acoustic species identification of schooling fish. – ICES Journal of Marine Science, 66: 1111–1118. The development of methods for the acoustic identification of fish is a long-term objective aimed at reducing uncertainty in acoustic-survey estimates. The relative frequency response r(f) measured simultaneously at several frequencies is one of the main acoustic features that characterize the targets, but the relationship between nearest neighbours, school morphology, and environmental and geographical data

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13

Potapov, A. I., I. S. Pavlov, and S. A. Lisina. "Acoustic identification of nanocrystalline media." Journal of Sound and Vibration 322, no. 3 (2009): 564–80. http://dx.doi.org/10.1016/j.jsv.2008.09.031.

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14

Su, Qi, Zhongbin Chen, and Wei Li. "Application of sound and vibration recognition technology based on optimized features in underground cable external breakage prevention." Journal of Physics: Conference Series 2849, no. 1 (2024): 012069. http://dx.doi.org/10.1088/1742-6596/2849/1/012069.

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Abstract This study focuses on enhancing the accuracy of engineering vehicle identification through the optimization of acoustic characteristics and the use of the UBM-GMM algorithm, aiming to reduce the operation time of the identification process and thereby better prevent underground cable damage. The research compared three types of features: traditional MFCC features, combined feature M1, and optimized feature M2. The results indicated that the optimized feature M2 achieved a recognition accuracy of 94%, with the shortest training and recognition times being 127.017 seconds and 0.86 secon

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15

Chang, Hui-Shan, Chao-Yang Lee, Xianhui Wang, Shuenn-Tsong Young, Cheng-Hsuan Li, and Woei-Chyn Chu. "Emotional tones of voice affect the acoustics and perception of Mandarin tones." PLOS ONE 18, no. 4 (2023): e0283635. http://dx.doi.org/10.1371/journal.pone.0283635.

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Lexical tones and emotions are conveyed by a similar set of acoustic parameters; therefore, listeners of tonal languages face the challenge of processing lexical tones and emotions in the acoustic signal concurrently. This study examined how emotions affect the acoustics and perception of Mandarin tones. In Experiment 1, Mandarin tones were produced by professional actors with angry, fear, happy, sad, and neutral tones of voice. Acoustic analyses on mean F0, F0 range, mean amplitude, and duration were conducted on syllables excised from a carrier phrase. The results showed that emotions affect

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16

Rankin, Cara L., Shannon Gowans, and Peter Simard. "Identifying and Characterizing Signature Whistles Using Photo-Identification of Free-Ranging Bottlenose Dolphins (Tursiops truncatus) in Tampa Bay, Florida." Aquatic Mammals 51, no. 3 (2025): 262–75. https://doi.org/10.1578/am.51.3.2025.262.

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The common bottlenose dolphin (Tursiops truncatus) uses vocal learning and acoustic signals within their highly social, fission-fusion lifestyle. When communicating with other individuals, they often use individually distinctive vocalizations called “signature whistles” that function in conspecific recognition. The objective of this study was to identify signature whistles in a population of bottlenose dolphins in Tampa Bay and use photographic identification to link potential individuals with specific signature whistles. Acoustic recordings from 2009 to 2023 were manually analyzed using the S

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17

Koslow, J. Anthony. "The role of acoustics in ecosystem-based fishery management." ICES Journal of Marine Science 66, no. 6 (2009): 966–73. http://dx.doi.org/10.1093/icesjms/fsp082.

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Abstract Koslow, J. A. 2009. The role of acoustics in ecosystem-based fishery management. – ICES Journal of Marine Science, 66: 966–973. For more than half a century, acoustics has been a leading tool in fishery stock assessment. Today, the need for ecosystem-based management poses new challenges for fishery scientists: the need to assess the ecological relationships of exploited species with predators and prey and to predict the potential effects of climate variability and climate change on recruitment. No research tool is likely to prove as effective as acoustics in meeting these needs, if i

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18

Jablonská, Jana, Milada Kozubková, Miroslav Mahdal, Radek Štramberský, Tomáš Blejchař, and Marian Bojko. "Identification of Cavitation by Noise." MATEC Web of Conferences 369 (2022): 02010. http://dx.doi.org/10.1051/matecconf/202236902010.

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The identification of cavitation is very important in technical practice for operational and especially economic reasons. The article deals with the use of another way to measure noise during cavitation. The current approach of measuring noise with an intensity probe is used in practice for identification, but it does not immediately address the position of the cavitation source for a given frequency range. Measurement by an acoustic camera is not entirely common in practice, but it allows to determine the location of the noise source for a given frequency range. To test the acoustic camera, t

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19

Denner, Fabian. "Acoustic pressure modulation driven by spatially non-uniform flow." Journal of the Acoustical Society of America 155, no. 2 (2024): 984–89. http://dx.doi.org/10.1121/10.0024751.

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The recent identification of a modulation of acoustic waves that is driven by spatial velocity gradients, using acoustic black and white hole analogues [see Schenke, Sewerin, van Wachem, and Denner, J. Acoust. Soc. Am. 154, 781–791 (2023)], has shed new light on the complex interplay of acoustic waves and non-uniform flows. According to the virtual acoustic black hole hypothesis, these findings should be applicable to acoustic waves propagating in non-uniform flows of arbitrary velocity. In this study, the propagation of acoustic waves in non-uniform flows is investigated by incorporating a le

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20

Korneliussen, Rolf J. "The acoustic identification of Atlantic mackerel." ICES Journal of Marine Science 67, no. 8 (2010): 1749–58. http://dx.doi.org/10.1093/icesjms/fsq052.

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Abstract Korneliussen, R. J. 2010. The acoustic identification of Atlantic mackerel. – ICES Journal of Marine Science, 67: 1749–1758. Calibrated, digitized data from multifrequency echosounders working simultaneously with nearly identical and overlapping acoustic beams were used to generate new, synthetic echograms which allow Atlantic mackerel (Scomber scombrus) to be identified acoustically. The raw echosounder data were processed stepwise in a modular sequence of analyses to improve categorization of the acoustic targets. The relative frequency response measured over as many as six operatin

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21

Pedersen, Audun O., Per Lunde, Frank E. Tichy, and Rolf J. Korneliussen. "Finite-amplitude sound propagation effects in volume backscattering measurements for fish abundance estimation." Acta Acustica 6 (2022): 14. http://dx.doi.org/10.1051/aacus/2022010.

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Scientific advice for governmental management of marine resources relies on acoustical observation methods. Quantification and identification of fish and plankton species are often achieved using multi-frequency acoustic data. Accurate measurements of backscattering cross-sections and volume backscattering coefficients are essential. Systematic errors from finite-amplitude sound propagation are demonstrated in experimental survey measurements on Atlantic mackerel using 120 kHz and 200 kHz echosounders and high power settings. Finite-amplitude signal distortion causes excess transmission loss t

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22

López-Bosch, David, Joe Chun-Chia Huang, Yanping Wang, Ana Filipa Palmeirim, Luke Gibson, and Adrià López-Baucells. "Bat echolocation in continental China: a systematic review and first acoustic identification key for the country." Mammal Research 66, no. 3 (2021): 405–16. https://doi.org/10.5281/zenodo.13512868.

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(Uploaded by Plazi for the Bat Literature Project) The development of increasingly affordable ultrasonic detectors and automatic classifiers has increasingly boosted the use of acoustic recording of echolocation calls to survey bats all over the world. Echolocation call keys are crucial to reliably classify acoustic recordings, but those are not available for many regions, such as China. In the present study, we conducted a systematic review of bat echolocation studies across continental China and developed an acoustic identification key. Based on 130 studies, published from 1999 to 2020, we o

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23

López-Bosch, David, Joe Chun-Chia Huang, Yanping Wang, Ana Filipa Palmeirim, Luke Gibson, and Adrià López-Baucells. "Bat echolocation in continental China: a systematic review and first acoustic identification key for the country." Mammal Research 66, no. 3 (2021): 405–16. https://doi.org/10.5281/zenodo.13512868.

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(Uploaded by Plazi for the Bat Literature Project) The development of increasingly affordable ultrasonic detectors and automatic classifiers has increasingly boosted the use of acoustic recording of echolocation calls to survey bats all over the world. Echolocation call keys are crucial to reliably classify acoustic recordings, but those are not available for many regions, such as China. In the present study, we conducted a systematic review of bat echolocation studies across continental China and developed an acoustic identification key. Based on 130 studies, published from 1999 to 2020, we o

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24

López-Bosch, David, Joe Chun-Chia Huang, Yanping Wang, Ana Filipa Palmeirim, Luke Gibson, and Adrià López-Baucells. "Bat echolocation in continental China: a systematic review and first acoustic identification key for the country." Mammal Research 66, no. 3 (2021): 405–16. https://doi.org/10.5281/zenodo.13512868.

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(Uploaded by Plazi for the Bat Literature Project) The development of increasingly affordable ultrasonic detectors and automatic classifiers has increasingly boosted the use of acoustic recording of echolocation calls to survey bats all over the world. Echolocation call keys are crucial to reliably classify acoustic recordings, but those are not available for many regions, such as China. In the present study, we conducted a systematic review of bat echolocation studies across continental China and developed an acoustic identification key. Based on 130 studies, published from 1999 to 2020, we o

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25

López-Bosch, David, Joe Chun-Chia Huang, Yanping Wang, Ana Filipa Palmeirim, Luke Gibson, and Adrià López-Baucells. "Bat echolocation in continental China: a systematic review and first acoustic identification key for the country." Mammal Research 66, no. 3 (2021): 405–16. https://doi.org/10.5281/zenodo.13512868.

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(Uploaded by Plazi for the Bat Literature Project) The development of increasingly affordable ultrasonic detectors and automatic classifiers has increasingly boosted the use of acoustic recording of echolocation calls to survey bats all over the world. Echolocation call keys are crucial to reliably classify acoustic recordings, but those are not available for many regions, such as China. In the present study, we conducted a systematic review of bat echolocation studies across continental China and developed an acoustic identification key. Based on 130 studies, published from 1999 to 2020, we o

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26

Zhang, Li Xia, Fu Zhou Feng, Peng Cheng Jiang, and Xu Chang Wang. "Application of Neural Network on Acoustic Signal Identification." Applied Mechanics and Materials 151 (January 2012): 523–26. http://dx.doi.org/10.4028/www.scientific.net/amm.151.523.

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The application based on Backpropagation (BP) Algorithm network is conducted on identifying the categories and numbers of mechanical equipments by acoustic signal in battlefield targets. Collected signal was pre-processed and extracted the power spectrum feature of acoustic signal as input vectors of neural networks, then classified by neural networks and pattern recognition theorem. We employ the acoustic signals of six kinds of normal equipments as training samples to train the network. The experiment shows that the ratio of recognition of the acoustic signal processing system based on neura

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27

Gomez Morales, J., R. Rodriguez, J. Durand, et al. "Characterization and identification of berlinite crystals by acoustic microscopy." Journal of Materials Research 6, no. 11 (1991): 2484–89. http://dx.doi.org/10.1557/jmr.1991.2484.

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Berlinite crystals grown in H3PO4, HCl, H3PO4/HCl, H2SO4/HCl, or H3PO4/HCl/H2SO4 solvents are characterized by acoustic microscopy techniques. Surface and subsurface defects can be visualized via acoustical images, whereas elastic parameters of the crystal can be measured on a microscopic scale. They prove to be of great importance in the identification of not only crystal orientations but of preparation methods as well. We show, for example, that a growth in sulfuric and phosphoric mediums improves mechanical behavior of berlinite crystals. Moreover, it seems that anisotropy plays a fundament

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28

TAROUDAKIS, MICHAEL I., and GEORGE TZAGKARAKIS. "ON THE USE OF THE REASSIGNED WAVELET TRANSFORM FOR MODE IDENTIFICATION." Journal of Computational Acoustics 12, no. 02 (2004): 175–96. http://dx.doi.org/10.1142/s0218396x04002237.

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This paper is concerned with the use of the reassigned wavelet transform for mode identification in shallow water acoustic propagation. Mode identification is important for inverse procedures in underwater acoustics. An efficient way to recognize the modal structure of the acoustic field when a single hydrophone is available is to refer to the time frequency analysis of the recorded signal using wavelet transform. However, the standard wavelet transform in some cases may result in an obscure representation of the dispersion curves. Thus, a reassigned process is proposed which brings important

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29

Bukreev, Alexey, Alexander Vinogradov, Vadim Bolshev, and Vladimir Panchenko. "Conductor Identification Using Acoustic Signal Method." Sustainability 14, no. 12 (2022): 7297. http://dx.doi.org/10.3390/su14127297.

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Electrotechnical services spend a significant amount of time on cable tracing and conductor identification operations. Although the operation of conductor identification seems an easy job and a deeply researched topic, it may turn out to be time-consuming due to the large quantity of unidentified conductors (cables) and the certain stipulation that conductors should be de-energized and have uninsulated parts. This paper proposes a method based on the use of an acoustic signal as a carrier, making it possible to facilitate the identification process and significantly speed up the identification

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30

Kawabe, Hiroshi. "Inverse Acoustic Scattering for Shape Identification." Journal of the Society of Naval Architects of Japan 1993, no. 173 (1993): 247–53. http://dx.doi.org/10.2534/jjasnaoe1968.1993.247.

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31

Bernardini, Andrea, Federica Mangiatordi, Emiliano Pallotti, and Licia Capodiferro. "Drone detection by acoustic signature identification." Electronic Imaging 2017, no. 10 (2017): 60–64. http://dx.doi.org/10.2352/issn.2470-1173.2017.10.imawm-168.

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32

Wang, Ting-I. "Optical and acoustic weather identification system." Journal of the Acoustical Society of America 101, no. 4 (1997): 1761. http://dx.doi.org/10.1121/1.418216.

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33

Kelly, Joseph L. "Surface acoustic wave pipe identification system." Journal of the Acoustical Society of America 83, no. 4 (1988): 1711. http://dx.doi.org/10.1121/1.395852.

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34

Denny, Gerald, and Patrick Simpson. "A broadband acoustic fish identification system." Journal of the Acoustical Society of America 103, no. 5 (1998): 3069. http://dx.doi.org/10.1121/1.422851.

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35

Dwyer, Roger F. "Remote identification of moving acoustic objects." Journal of the Acoustical Society of America 96, no. 5 (1994): 3312. http://dx.doi.org/10.1121/1.410801.

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Eberlin, Philippe. "Underwater acoustic identification of hospital ships." International Review of the Red Cross 28, no. 267 (1988): 505–18. http://dx.doi.org/10.1017/s0020860400071953.

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At the Twenty-fifth International Conference of the Red Cross (Geneva, 1986) the ICRC presented its report on the identification of medical transports, including the action taken to implement Resolution VIII of the previous International Conference. The report stressed that in a naval conflict the protection of medical transports at sea largely depended on the technical means of identification available.By adopting its Resolution III entitled “Identification of medical transports”, the Twenty-fifth Conference recognized the need for continuous efforts to ensure that the means used to signal an

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GANCHEV, TODOR, and ILYAS POTAMITIS. "AUTOMATIC ACOUSTIC IDENTIFICATION OF SINGING INSECTS." Bioacoustics 16, no. 3 (2007): 281–328. http://dx.doi.org/10.1080/09524622.2007.9753582.

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38

Friedel, Paul, Moritz Bürck, and J. Leo van Hemmen. "Neuronal identification of acoustic signal periodicity." Biological Cybernetics 97, no. 3 (2007): 247–60. http://dx.doi.org/10.1007/s00422-007-0173-1.

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Barré, Kévin, Viol Isabelle Le, Romain Julliard, et al. "Accounting for automated identification errors in acoustic surveys." Methods in Ecology and Evolution 10, no. 8 (2019): 1171–88. https://doi.org/10.5281/zenodo.13480989.

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(Uploaded by Plazi for the Bat Literature Project) Abstract Assessing the state and trend of biodiversity in the face of anthropogenic threats requires large‐scale and long‐time monitoring, for which new recording methods offer interesting possibilities. Reduced costs and a huge increase in storage capacity of acoustic recorders have resulted in an exponential use of passive acoustic monitoring ( PAM ) on a wide range of animal groups in recent years. PAM has led to a rapid growth in the quantity of acoustic data, making manual identification increasingly time‐consuming. Therefore, software de

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40

Barré, Kévin, Viol Isabelle Le, Romain Julliard, et al. "Accounting for automated identification errors in acoustic surveys." Methods in Ecology and Evolution 10, no. 8 (2019): 1171–88. https://doi.org/10.5281/zenodo.13480989.

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(Uploaded by Plazi for the Bat Literature Project) Abstract Assessing the state and trend of biodiversity in the face of anthropogenic threats requires large‐scale and long‐time monitoring, for which new recording methods offer interesting possibilities. Reduced costs and a huge increase in storage capacity of acoustic recorders have resulted in an exponential use of passive acoustic monitoring ( PAM ) on a wide range of animal groups in recent years. PAM has led to a rapid growth in the quantity of acoustic data, making manual identification increasingly time‐consuming. Therefore, software de

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41

Barré, Kévin, Viol Isabelle Le, Romain Julliard, et al. "Accounting for automated identification errors in acoustic surveys." Methods in Ecology and Evolution 10, no. 8 (2019): 1171–88. https://doi.org/10.5281/zenodo.13480989.

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(Uploaded by Plazi for the Bat Literature Project) Abstract Assessing the state and trend of biodiversity in the face of anthropogenic threats requires large‐scale and long‐time monitoring, for which new recording methods offer interesting possibilities. Reduced costs and a huge increase in storage capacity of acoustic recorders have resulted in an exponential use of passive acoustic monitoring ( PAM ) on a wide range of animal groups in recent years. PAM has led to a rapid growth in the quantity of acoustic data, making manual identification increasingly time‐consuming. Therefore, software de

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42

Barré, Kévin, Viol Isabelle Le, Romain Julliard, et al. "Accounting for automated identification errors in acoustic surveys." Methods in Ecology and Evolution 10, no. 8 (2019): 1171–88. https://doi.org/10.5281/zenodo.13480989.

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(Uploaded by Plazi for the Bat Literature Project) Abstract Assessing the state and trend of biodiversity in the face of anthropogenic threats requires large‐scale and long‐time monitoring, for which new recording methods offer interesting possibilities. Reduced costs and a huge increase in storage capacity of acoustic recorders have resulted in an exponential use of passive acoustic monitoring ( PAM ) on a wide range of animal groups in recent years. PAM has led to a rapid growth in the quantity of acoustic data, making manual identification increasingly time‐consuming. Therefore, software de

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43

Barré, Kévin, Viol Isabelle Le, Romain Julliard, et al. "Accounting for automated identification errors in acoustic surveys." Methods in Ecology and Evolution 10, no. 8 (2019): 1171–88. https://doi.org/10.5281/zenodo.13480989.

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(Uploaded by Plazi for the Bat Literature Project) Abstract Assessing the state and trend of biodiversity in the face of anthropogenic threats requires large‐scale and long‐time monitoring, for which new recording methods offer interesting possibilities. Reduced costs and a huge increase in storage capacity of acoustic recorders have resulted in an exponential use of passive acoustic monitoring ( PAM ) on a wide range of animal groups in recent years. PAM has led to a rapid growth in the quantity of acoustic data, making manual identification increasingly time‐consuming. Therefore, software de

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McKelvey, Tomas, Andrew Fleming, and S. O. Reza Moheimani. "Subspace-Based System Identification for an Acoustic Enclosure." Journal of Vibration and Acoustics 124, no. 3 (2002): 414–19. http://dx.doi.org/10.1115/1.1467653.

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This paper is aimed at identifying a dynamical model for an acoustic enclosure, a duct with rectangular cross section, closed ends, and side-mounted speaker enclosures. Acoustic enclosures are known to be resonant systems of high order. In order to design a high performance feedback controller for an acoustic enclosure, one needs to have an accurate model of the system. Subspace-based system identification techniques have proven to be an efficient means of identifying dynamics of high order highly resonant systems. In this paper a frequency domain subspace-based method together with a second i

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Munger, JE, DP Herrera, SM Haver, et al. "Machine learning analysis reveals relationship between pomacentrid calls and environmental cues." Marine Ecology Progress Series 681 (January 6, 2022): 197–210. http://dx.doi.org/10.3354/meps13912.

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Sound production rates of fishes can be used as an indicator for coral reef health, providing an opportunity to utilize long-term acoustic recordings to assess environmental change. As acoustic datasets become more common, computational techniques need to be developed to facilitate analysis of the massive data files produced by long-term monitoring. Machine learning techniques demonstrate an advantage in the identification of fish sounds over manual sampling approaches. Here we evaluated the ability of convolutional neural networks to identify and monitor call patterns for pomacentrids (damsel

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Meyer-Kahlen, Nils, Sebastian J. Schlecht, and Tapio Lokki. "Clearly audible room acoustical differences may not reveal where you are in a room." Journal of the Acoustical Society of America 152, no. 2 (2022): 877–87. http://dx.doi.org/10.1121/10.0013364.

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A common aim in virtual reality room acoustics simulation is accurate listener position dependent rendering. However, it is unclear whether a mismatch between the acoustics and visual representation of a room influences the experience or is even noticeable. Here, we ask if listeners without any special experience in echolocation are able to identify their position in a room based on the acoustics alone. In a first test, direct comparison between acoustic recordings from the different positions in the room revealed clearly audible differences, which subjects described with various acoustic attr

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Peng, Z. Ellen, and Vijayalakshmi Easwar. "Development of amplitude modulation, voice onset time, and consonant identification in noise and reverberation." Journal of the Acoustical Society of America 155, no. 2 (2024): 1071–85. http://dx.doi.org/10.1121/10.0024461.

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Children's speech understanding is vulnerable to indoor noise and reverberation: e.g., from classrooms. It is unknown how they develop the ability to use temporal acoustic cues, specifically amplitude modulation (AM) and voice onset time (VOT), which are important for perceiving distorted speech. Through three experiments, we investigated the typical development of AM depth detection in vowels (experiment I), categorical perception of VOT (experiment II), and consonant identification (experiment III) in quiet and in speech-shaped noise (SSN) and mild reverberation in 6- to 14-year-old children

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Zhang, Lei, Danjie Huang, Xinheng Wang, Christian Schindelhauer, and Zhi Wang. "Acoustic NLOS Identification Using Acoustic Channel Characteristics for Smartphone Indoor Localization." Sensors 17, no. 4 (2017): 727. http://dx.doi.org/10.3390/s17040727.

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Xiao, Yue, Wei Gao, Changbao Chu, and Jing Sheng. "Identification of panel acoustic contribution based on patch nearfield acoustic holography." Journal of Physics: Conference Series 1965, no. 1 (2021): 012138. http://dx.doi.org/10.1088/1742-6596/1965/1/012138.

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Huang, Jie, Ke-Yu Pan, Xue-Lei Feng, and Yong Shen. "Analysis and Identification of Nonlinear Acoustic Damping in Miniature Loudspeakers." Applied Sciences 11, no. 16 (2021): 7713. http://dx.doi.org/10.3390/app11167713.

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Nonlinear acoustic damping is a key nonlinearity in miniature loudspeakers when the air velocity is at a high amplitude. Measurement of nonlinear acoustic damping is beneficial for predicting and analyzing the performance of miniature loudspeakers. However, the general measuring methods for acoustic impedance, such as the standing-wave tube method or the impedance tube method, are not applicable in this scenario because the nonlinear acoustic damping in miniature loudspeakers is coupled with other system nonlinearities. In this study, a measurement method based on nonlinear system identificati

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