AIMC Topic: Sound

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Deblurring of Sound Source Orientation Recognition Based on Deep Neural Network.

Sensors (Basel, Switzerland) Oct 18, 2022
Underwater target detection and identification technology are currently two of the most important research directions in the information disciplines. Traditionally, underwater target detection technology has struggled to meet the needs of current eng...
Signal Processing, Computer-Assisted Sound Neural Networks, Computer Signal-To-Noise Ratio
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Empirical Mode Decomposition-Based Feature Extraction for Environmental Sound Classification.

Sensors (Basel, Switzerland) Oct 11, 2022
In environment sound classification, log Mel band energies (MBEs) are considered as the most successful and commonly used features for classification. The underlying algorithm, fast Fourier transform (FFT), is valid under certain restrictions. In thi...
Signal Processing, Computer-Assisted Fourier Analysis Sound Neural Networks, Computer Algorithms
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A Two-Mode Underwater Smart Sensor Object for Precision Aquaculture Based on AIoT Technology.

Sensors (Basel, Switzerland) Oct 7, 2022
Monitoring the status of culture fish is an essential task for precision aquaculture using a smart underwater imaging device as a non-intrusive way of sensing to monitor freely swimming fish even in turbid or low-ambient-light waters. This paper deve...
Neural Networks, Computer Aquaculture Artificial Intelligence Sound Humans Animals Technology
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A Parallel Classification Model for Marine Mammal Sounds Based on Multi-Dimensional Feature Extraction and Data Augmentation.

Sensors (Basel, Switzerland) Sep 30, 2022
Due to the poor visibility of the deep-sea environment, acoustic signals are often collected and analyzed to explore the behavior of marine species. With the progress of underwater signal-acquisition technology, the amount of acoustic data obtained f...
Acoustics Algorithms Sound Humans Neural Networks, Computer
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A Prediction Model of Defecation Based on BP Neural Network and Bowel Sound Signal Features.

Sensors (Basel, Switzerland) Sep 19, 2022
(1) Background: Incontinence and its complications pose great difficulties in the care of the disabled. Currently, invasive incontinence monitoring methods are too invasive, expensive, and bulky to be widely used. Compared with previous methods, bowe...
Sound Defecation Algorithms Signal Processing, Computer-Assisted Neural Networks, Computer Humans
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Polyphonic Sound Event Detection Using Temporal-Frequency Attention and Feature Space Attention.

Sensors (Basel, Switzerland) Sep 9, 2022
The complexity of polyphonic sounds imposes numerous challenges on their classification. Especially in real life, polyphonic sound events have discontinuity and unstable time-frequency variations. Traditional single acoustic features cannot character...
Acoustics Sound Algorithms Hearing Neural Networks, Computer
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A deep learning approach for detecting drill bit failures from a small sound dataset.

Scientific reports Jun 10, 2022
Monitoring the conditions of machines is vital in the manufacturing industry. Early detection of faulty components in machines for stopping and repairing the failed components can minimize the downtime of the machine. In this article, we present a me...
Neural Networks, Computer Noise Deep Learning Sound
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Sunken oil detection and classification using MBES backscatter data.

Marine pollution bulletin Jun 9, 2022
Sunken oil incidents have occurred multiple times in the Bohai Sea over the past ten years. Currently, quick and effective sunken oil detection and classification remains a difficult problem. In this study, sonar detection experiments are conducted t...
Sound Seawater Acoustics Algorithms Support Vector Machine
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Few-Shot Emergency Siren Detection.

Sensors (Basel, Switzerland) Jun 8, 2022
It is a well-established practice to build a robust system for sound event detection by training supervised deep learning models on large datasets, but audio data collection and labeling are often challenging and require large amounts of effort. This...
Data Collection Neural Networks, Computer Time Sound Ambulances
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A Fault Diagnosis System for a Pipeline Robot Based on Sound Signal Recognition.

Sensors (Basel, Switzerland) Apr 24, 2022
Timely and accurate identification of fault types at the early stage of minor faults is significant for cutting off fault evolution. In order to have a clear understanding of the pipeline robot's own situation in the pipeline, this paper proposes a f...
Robotics Software Algorithms Reproducibility of Results Sound
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