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Acoustics

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Deep Learning Based Monitoring of Spatter Behavior by the Acoustic Signal in Selective Laser Melting.

Sensors (Basel, Switzerland)
As one of the most promising metal additive manufacturing (AM) technologies, the selective laser melting (SLM) process has high expectations ofr its use in aerospace, medical, and other fields. However, various defects such as spatter, crack, and por...

Biologically inspired micro-robotic swimmers remotely controlled by ultrasound waves.

Lab on a chip
We 3D print micro-robotic swimmers with the size of animal cells using a Nanoscribe. The micro-swimmers are powered by the microstreaming flows induced by the oscillating air bubbles entrapped within the micro-robotic swimmers. Previously, micro-swim...

Deep Neural Networks for Detection and Location of Microseismic Events and Velocity Model Inversion from Microseismic Data Acquired by Distributed Acoustic Sensing Array.

Sensors (Basel, Switzerland)
Fiber-optic cables have recently gained popularity for use as Distributed Acoustic Sensing (DAS) arrays for borehole microseismic monitoring due to their physical robustness as well as high spatial and temporal resolutions. As a result, the sensors r...

An Incremental Class-Learning Approach with Acoustic Novelty Detection for Acoustic Event Recognition.

Sensors (Basel, Switzerland)
Acoustic scene analysis (ASA) relies on the dynamic sensing and understanding of stationary and non-stationary sounds from various events, background noises and human actions with objects. However, the spatio-temporal nature of the sound signals may ...

Localizing category-related information in speech with multi-scale analyses.

PloS one
Measurements of the physical outputs of speech-vocal tract geometry and acoustic energy-are high-dimensional, but linguistic theories posit a low-dimensional set of categories such as phonemes and phrase types. How can it be determined when and where...

A Novel Approach to Railway Track Faults Detection Using Acoustic Analysis.

Sensors (Basel, Switzerland)
Regular inspection of railway track health is crucial for maintaining safe and reliable train operations. Factors, such as cracks, ballast issues, rail discontinuity, loose nuts and bolts, burnt wheels, superelevation, and misalignment developed on t...

Machine learning approach for automatic recognition of tomato-pollinating bees based on their buzzing-sounds.

PLoS computational biology
Bee-mediated pollination greatly increases the size and weight of tomato fruits. Therefore, distinguishing between the local set of bees-those that are efficient pollinators-is essential to improve the economic returns for farmers. To achieve this, i...

A Novel Machine Learning-Based Methodology for Tool Wear Prediction Using Acoustic Emission Signals.

Sensors (Basel, Switzerland)
There is an increasing trend in the industry of knowing in real-time the condition of their assets. In particular, tool wear is a critical aspect, which requires real-time monitoring to reduce costs and scrap in machining processes. Traditionally, fo...

Deep-Learning-Based Approach to Anomaly Detection Techniques for Large Acoustic Data in Machine Operation.

Sensors (Basel, Switzerland)
As the workforce shrinks, the demand for automatic, labor-saving, anomaly detection technology that can perform maintenance on advanced equipment such as vehicles has been increasing. In a vehicular environment, noise in the cabin, which directly aff...

Bioacoustic classification of avian calls from raw sound waveforms with an open-source deep learning architecture.

Scientific reports
The use of autonomous recordings of animal sounds to detect species is a popular conservation tool, constantly improving in fidelity as audio hardware and software evolves. Current classification algorithms utilise sound features extracted from the r...