AIMC Topic: Sound

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Deep neural network models reveal interplay of peripheral coding and stimulus statistics in pitch perception.

Nature communications Dec 14, 2021
Perception is thought to be shaped by the environments for which organisms are optimized. These influences are difficult to test in biological organisms but may be revealed by machine perceptual systems optimized under different conditions. We invest...
Music Pitch Discrimination Acoustic Stimulation Cochlea Pitch Perception Humans Noise Sound Neural Networks, Computer
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Sound Source Localization Using a Convolutional Neural Network and Regression Model.

Sensors (Basel, Switzerland) Dec 1, 2021
In this research, a novel sound source localization model is introduced that integrates a convolutional neural network with a regression model (CNN-R) to estimate the sound source angle and distance based on the acoustic characteristics of the intera...
Databases, Factual Neural Networks, Computer Computer Simulation Sound
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Bioinspired translation of classical music intoprotein structures using deep learning and molecular modeling.

Bioinspiration & biomimetics Nov 26, 2021
Architected biomaterials, as well as sound and music, are constructed from small building blocks that are assembled across time- and length-scales. Here we present a novel deep learning-enabled integrated algorithmic workflow to merge the two concept...
Proteins Sound Music Animals Deep Learning Creativity
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Robust Single-Probe Quantitative Ultrasonic Imaging System With a Target-Aware Deep Neural Network.

IEEE transactions on bio-medical engineering Nov 19, 2021
OBJECTIVE: The speed of sound (SoS) has great potential as a quantitative imaging biomarker since it is sensitive to pathological changes in tissues. In this paper, a target-aware deep neural (TAD) network reconstructing an SoS image quantitatively f...
Sound Ultrasonography Neural Networks, Computer Image Processing, Computer-Assisted
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Fish Segmentation in Sonar Images by Mask R-CNN on Feature Maps of Conditional Random Fields.

Sensors (Basel, Switzerland) Nov 17, 2021
Imaging sonar systems are widely used for monitoring fish behavior in turbid or low ambient light waters. For analyzing fish behavior in sonar images, fish segmentation is often required. In this paper, Mask R-CNN is adopted for segmenting fish in so...
Neural Networks, Computer Supervised Machine Learning Sound Image Processing, Computer-Assisted Specimen Handling
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Data Collection, Modeling, and Classification for Gunshot and Gunshot-like Audio Events: A Case Study.

Sensors (Basel, Switzerland) Nov 3, 2021
Distinguishing between a dangerous audio event like a gun firing and other non-life-threatening events, such as a plastic bag bursting, can mean the difference between life and death and, therefore, the necessary and unnecessary deployment of public ...
Sound Data Collection Neural Networks, Computer Algorithms Humans
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Environmental sound classification using temporal-frequency attention based convolutional neural network.

Scientific reports Nov 3, 2021
Environmental sound classification is one of the important issues in the audio recognition field. Compared with structured sounds such as speech and music, the time-frequency structure of environmental sounds is more complicated. In order to learn ti...
Music Recognition, Psychology Motivation Semantics Models, Statistical Noise Sound Attention Acoustics Speech Models, Theoretical Research Design Learning Neural Networks, Computer Algorithms Humans
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Attention-Based Joint Training of Noise Suppression and Sound Event Detection for Noise-Robust Classification.

Sensors (Basel, Switzerland) Oct 9, 2021
Sound event detection (SED) recognizes the corresponding sound event of an incoming signal and estimates its temporal boundary. Although SED has been recently developed and used in various fields, achieving noise-robust SED in a real environment is t...
Signal-To-Noise Ratio Noise Sound Neural Networks, Computer Speech
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Identifying individuals with recent COVID-19 through voice classification using deep learning.

Scientific reports Sep 27, 2021
Recently deep learning has attained a breakthrough in model accuracy for the classification of images due mainly to convolutional neural networks. In the present study, we attempted to investigate the presence of subclinical voice feature alteration ...
Deep Learning COVID-19 Logistic Models Humans SARS-CoV-2 Prospective Studies Multivariate Analysis Sensitivity and Specificity Neural Networks, Computer Female Cough Adult Voice Male Sound Voice Disorders
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High Accurate Environmental Sound Classification: Sub-Spectrogram Segmentation versus Temporal-Frequency Attention Mechanism.

Sensors (Basel, Switzerland) Aug 16, 2021
In the important and challenging field of environmental sound classification (ESC), a crucial and even decisive factor is the feature representation ability, which can directly affect the accuracy of classification. Therefore, the classification perf...
Neural Networks, Computer Sound
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