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Applied Acoustics

ISSN: 0003-682X

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Datasets associated with articles published in Applied Acoustics

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1970
2024
1970 2024
17 results
  • Data for: Acoustics of performance buildings in Hispania: The Roman Theatre and Amphitheatre of Segobriga, Spain
    Auralisations carried out in these two ancient buildings
    • Dataset
  • Data for: A comprehensive analysis of time influence on floating floors: effects on acoustic performance and occupants’ comfort
    Researches Data used for the paper
    • Dataset
  • Data for: Sound model of an orchestral kettledrum considering viscoelastic effects
    Kettledum sounds corresponding to La and Si_b tuned drumheads. Sounds recorded from a copper kettledrum with an Adams Renaissance 32 inch drumhead. The kettledrum was placed at the center of a recording studio covered by sound baffles to reduce reverberation. The python source code corresponding to the model described in the article is also provided.
    • Dataset
  • Data for: Multi-source time reversal focusing for airborne sound
    The attachment contains thousands pictures demonstrating the results of the multi-source time reversal focusing methods in frequency domain. Meanwhile,it provides direct references for the analysis in Chapter 4.2 in the paper. More details could be obtained in the attachment files.
    • Dataset
  • Data for: Online secondary path modeling for active sound quality control systems
    The dataset include the samples of sound with the different controls strategies implemented in stationary and non-stationary conditions. "eccsc.mat" and "eccsp.mat" are stationary sound with conventional algorithm and proposed algorithm, respectively; "eccnsc.mat" , "eccnsp.mat" and "pri_noise.mat"are non-stationary sound with conventional algorithm,non-stationary sound with proposed algorithm and primary sound signals, respectively. "figure10_15.m" is the matlab code to show the performance(figure 10 and 15 in paper).
    • Dataset
  • Data for: The role of direct sound spherical harmonics representation in externalization using binaural reproduction
    Listening test results and the analysis script
    • Dataset
  • Supplementary data for the paper 'Exterior sounds for electric and automated vehicles: Loud is effective'
    Exterior vehicle sounds have been introduced in electric vehicles and as external human-machine interfaces for automated vehicles. While previous research has studied the effect of exterior vehicle sounds on detectability and acceptance, the present study takes on a different approach by examining the efficacy of such sounds in deterring people from crossing the road. An online study was conducted in which 226 participants were presented with different types of synthetic sounds, including sounds of a combustion engine, pure tones, combined tones, and beeps. Participants were presented with a scenario where a vehicle moved in a straight trajectory at a constant velocity of 30 km/h, without any accompanying visual information. Participants, acting as pedestrians, were asked to hold down a key when they felt safe to cross. After each trial, they assessed whether the vehicle sound was easy to notice, whether it gave enough information to realize that a vehicle was approaching, and whether the sound was annoying. The results showed that sounds of higher modeled perceived loudness, such as continuous tones with high frequency, were the most effective in deterring participants from crossing the road. The tested intermittent beeps resulted in lower crossing deterrence than continuous tones, presumably because no valuable information could be derived during the inter-pulse intervals. Tire noise proved to be effective in deterring participants from crossing while being the least annoying among the sounds tested. These results may prove insightful for the improvement of synthetic exterior vehicle sounds.
    • Dataset
  • Supplementary data for the paper 'Exterior sounds for electric and automated vehicles: Loud is effective'
    Exterior vehicle sounds have been introduced in electric vehicles and as external human-machine interfaces for automated vehicles. While previous research has studied the effect of exterior vehicle sounds on detectability and acceptance, the present study takes on a different approach by examining the efficacy of such sounds in deterring people from crossing the road. An online study was conducted in which 226 participants were presented with different types of synthetic sounds, including sounds of a combustion engine, pure tones, combined tones, and beeps. Participants were presented with a scenario where a vehicle moved in a straight trajectory at a constant velocity of 30 km/h, without any accompanying visual information. Participants, acting as pedestrians, were asked to hold down a key when they felt safe to cross. After each trial, they assessed whether the vehicle sound was easy to notice, whether it gave enough information to realize that a vehicle was approaching, and whether the sound was annoying. The results showed that sounds of higher modeled perceived loudness, such as continuous tones with high frequency, were the most effective in deterring participants from crossing the road. The tested intermittent beeps resulted in lower crossing deterrence than continuous tones, presumably because no valuable information could be derived during the inter-pulse intervals. Tire noise proved to be effective in deterring participants from crossing while being the least annoying among the sounds tested. These results may prove insightful for the improvement of synthetic exterior vehicle sounds.
    • Dataset
  • Beamforming maps and noise spectra data of wind turbine blade trailing edge crack detection
    The data set is the beamforming maps and noise spectra that are associated with the experiments of wind turbine blade trailing edge crack detection. The details of the data set have been reported in the authors' paper in Applied Acoustics (Wind turbine blade trailing edge crack detection based on airfoil aerodynamic noise: An experimental study).
    • Dataset
  • Beamforming maps and noise spectra data of wind turbine blade leading edge erosion detection
    The dataset is associated with the noise measurements for wind turbine blade leading edge erosion detection experiments which have been reported in the authors' paper in Applied Acoustics (Leading edge erosion detection for a wind turbine blade using far-field aerodynamic noise).
    • Dataset
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