AIMC Topic: Acoustics

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Acoustic Based Footstep Detection in Pervasive Healthcare.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Passive detection of footsteps in domestic settings can allow the development of assistive technologies that can monitor mobility patterns of older adults in their home environment. Acoustic footstep detection is a promising approach for non-intrusiv...

Model reduction in acoustic inversion by artificial neural network.

The Journal of the Acoustical Society of America
In ultrasound tomography, the speed of sound inside an object is estimated based on acoustic measurements carried out by sensors surrounding the object. An accurate forward model is a prominent factor for high-quality image reconstruction, but it can...

Underwater acoustic target recognition using attention-based deep neural network.

JASA express letters
Underwater acoustic target recognition based on ship-radiated noise is difficult owing to the complex marine environment and the interference by multiple targets. As an important technology for target recognition, deep-learning has high accuracy but ...

Introduction to the special issue on machine learning in acoustics.

The Journal of the Acoustical Society of America
The use of machine learning (ML) in acoustics has received much attention in the last decade. ML is unique in that it can be applied to all areas of acoustics. ML has transformative potentials as it can extract statistically based new information abo...

Do you have COVID-19? An artificial intelligence-based screening tool for COVID-19 using acoustic parameters.

The Journal of the Acoustical Society of America
This study aimed to develop an artificial intelligence (AI)-based tool for screening COVID-19 patients based on the acoustic parameters of their voices. Twenty-five acoustic parameters were extracted from voice samples of 203 COVID-19 patients and 17...

Deep learning-based stereophonic acoustic echo suppression without decorrelation.

The Journal of the Acoustical Society of America
Traditional stereophonic acoustic echo cancellation algorithms need to estimate acoustic echo paths from stereo loudspeakers to a microphone, which often suffers from the nonuniqueness problem caused by a high correlation between the two far-end sign...

A multimodel deep learning algorithm to detect North Atlantic right whale up-calls.

The Journal of the Acoustical Society of America
We present a new method of detecting North Atlantic Right Whale (NARW) upcalls using a Multimodel Deep Learning (MMDL) algorithm. A MMDL detector is a classifier that embodies Convolutional Neural Networks (CNNs) and Stacked Auto Encoders (SAEs) and ...

Ultrasound-on-chip platform for medical imaging, analysis, and collective intelligence.

Proceedings of the National Academy of Sciences of the United States of America
Over the past half-century, ultrasound imaging has become a key technology for assessing an ever-widening range of medical conditions at all stages of life. Despite ultrasound's proven value, expensive systems that require domain expertise in image a...

Non-destructive acoustic screening of pineapple ripeness by unsupervised machine learning and Wavelet Kernel methods.

Science progress
In a pineapple exporting factory, manual lines are usually built to screen fruits of non-ripen hitting sounds from millions of undecided fruits for long-haul transportation. However, human workers cannot concentratedly listen and make consistent judg...

Validating deep learning seabed classification via acoustic similarity.

JASA express letters
While seabed characterization methods have often focused on estimating individual sediment parameters, deep learning suggests a class-based approach focusing on the overall acoustic effect. A deep learning classifier-trained on 1D synthetic waveforms...