AIMC Topic: Acoustics

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AcousTac: Tactile Sensing with Acoustic Resonance for Electronics-Free Soft Skin.

Soft robotics Aug 2, 2024
Sound is a rich information medium that transmits through air; people communicate through speech and can even discern material through tapping and listening. To capture frequencies in the human hearing range, commercial microphones typically have a s...
Robotics Equipment Design Skin Humans Sound Vibration Touch Electronics Acoustics
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The Application of Artificial Intelligence to Acoustic Data in Otolaryngology.

Otolaryngologic clinics of North America Jul 23, 2024
Artificial intelligence (AI), particularly deep learning, has revolutionized various fields through its ability to model complex, noisy systems with high accuracy. Driven by advancements in deep neural networks (DNNs), hardware, and data digitization...
Acoustics Otolaryngology Artificial Intelligence Deep Learning Humans Neural Networks, Computer
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Windy events detection in big bioacoustics datasets using a pre-trained Convolutional Neural Network.

The Science of the total environment Jul 19, 2024
Passive Acoustic Monitoring (PAM), which involves using autonomous record units for studying wildlife behaviour and distribution, often requires handling big acoustic datasets collected over extended periods. While these data offer invaluable insight...
Neural Networks, Computer Environmental Monitoring Noise South Africa Wind Animals Acoustics
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Patient-specific deep learning for 3D protoacoustic image reconstruction and dose verification in proton therapy.

Medical physics Jul 9, 2024
BACKGROUND: Protoacoustic (PA) imaging has the potential to provide real-time 3D dose verification of proton therapy. However, PA images are susceptible to severe distortion due to limited angle acquisition. Our previous studies showed the potential ...
Proton Therapy Image Processing, Computer-Assisted Prostatic Neoplasms Male Humans Radiation Dosage Radiotherapy Dosage Acoustics Deep Learning Imaging, Three-Dimensional
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Deep-Learning-Based detection of recreational vessels in an estuarine soundscape in the May River, South Carolina, USA.

PloS one Jul 8, 2024
This paper presents a deep-learning-based method to detect recreational vessels. The method takes advantage of existing underwater acoustic measurements from an Estuarine Soundscape Observatory Network based in the estuaries of South Carolina (SC), U...
Sound Acoustics Humans Rivers South Carolina Deep Learning Estuaries Recreation Ships
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Advancing deep learning-based acoustic leak detection methods towards application for water distribution systems from a data-centric perspective.

Water research Jun 24, 2024
Against the backdrop of severe leakage issue in water distribution systems (WDSs), numerous researchers have focused on the development of deep learning-based acoustic leak detection technologies. However, these studies often prioritize model develop...
Neural Networks, Computer Acoustics Deep Learning Water Supply Water
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Spectro-temporal acoustical markers differentiate speech from song across cultures.

Nature communications Jun 6, 2024
Humans produce two forms of cognitively complex vocalizations: speech and song. It is debated whether these differ based primarily on culturally specific, learned features, or if acoustical features can reliably distinguish them. We study the spectro...
Music Auditory Perception Singing Machine Learning Acoustics Female Sound Spectrography Middle Aged Adult Cross-Cultural Comparison Young Adult Speech Humans Male
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Machine learning with taxonomic family delimitation aids in the classification of ephemeral beaked whale events in passive acoustic monitoring.

PloS one Jun 4, 2024
Passive acoustic monitoring is an essential tool for studying beaked whale populations. This approach can monitor elusive and pelagic species, but the volume of data it generates has overwhelmed researchers' ability to quantify species occurrence for...
Animals Acoustics Vocalization, Animal Whales Neural Networks, Computer Machine Learning
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Machine-learning based detection of marine mammal vocalizations in snapping-shrimp dominated ambient noise.

Marine environmental research May 31, 2024
Passive acoustics is an effective method for monitoring marine mammals, facilitating both detection and population estimation. In warm tropical waters, this technique encounters challenges due to the high persistent level of ambient impulsive noise o...
Acoustics Vocalization, Animal Singapore Mammals Animals Environmental Monitoring Noise Machine Learning
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InsectSound1000 An insect sound dataset for deep learning based acoustic insect recognition.

Scientific data May 9, 2024
InsectSound1000 is a dataset comprising more than 169000 labelled sound samples of 12 insects. The insect sound level spans from very loud (Bombus terrestris) to inaudible to human ears (Aphidoletes aphidimyza). The samples were extracted from more t...
Deep Learning Acoustics Insecta Sound Animals
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