Results 41 to 50 of about 113,849 (154)

PROTAX-Sound: A probabilistic framework for automated animal sound identification.

PLoS ONE, 2017
Autonomous audio recording is stimulating new field in bioacoustics, with a great promise for conducting cost-effective species surveys. One major current challenge is the lack of reliable classifiers capable of multi-species identification.
Ulisses Moliterno de Camargo, Panu Somervuo, Otso Ovaskainen   +2 more
doaj   +1 more source

From Sensors to Insights: Interpretable Audio-Based Machine Learning for Real-Time Vehicle Fault and Emergency Sound Classification

Machines
Unrecognized mechanical faults and emergency sounds in vehicles can compromise safety, particularly for individuals with hearing impairments and in sound-insulated or autonomous driving environments.
Mahmoud Badawy, Amr Rashed, Amna Bamaqa, Hanaa A. Sayed, Rasha Elagamy, Malik Almaliki, Tamer Ahmed Farrag, Mostafa A. Elhosseini   +7 more
doaj   +1 more source

Heterogeneous sound classification with the Broad Sound Taxonomy and Dataset

CoRR
DCASE2024, post-print, 5 pages, 2 ...
Panagiota Anastasopoulou, Jessica Torrey, Xavier Serra, Frederic Font   +3 more
openaire   +3 more sources

Decoding multiple sound categories in the human temporal cortex using high resolution fMRI. [PDF]

PLoS ONE, 2015
Perception of sound categories is an important aspect of auditory perception. The extent to which the brain's representation of sound categories is encoded in specialized subregions or distributed across the auditory cortex remains unclear.
Fengqing Zhang, Ji-Ping Wang, Jieun Kim, Todd Parrish, Patrick C M Wong   +4 more
doaj   +1 more source

A convolutional neural network with image and numerical data to improve farming of edible crickets as a source of food—A decision support system

Frontiers in Artificial Intelligence
Crickets (Gryllus bimaculatus) produce sounds as a natural means to communicate and convey various behaviors and activities, including mating, feeding, aggression, distress, and more. These vocalizations are intricately linked to prevailing environmental
Henry Kyalo, Henry Kyalo, Henri E. Z. Tonnang, Henri E. Z. Tonnang, James P. Egonyu, John Olukuru, Chrysantus M. Tanga, Kennedy Senagi   +7 more
doaj   +1 more source

Comparison of Bagging and Sparcity Methods for Connectivity Reduction in Spiking Neural Networks with Memristive Plasticity

Big Data and Cognitive Computing
Developing a spiking neural network architecture that could prospectively be trained on energy-efficient neuromorphic hardware to solve various data analysis tasks requires satisfying the limitations of prospective analog or digital hardware, i.e., local
Roman Rybka, Yury Davydov, Danila Vlasov, Alexey Serenko, Alexander Sboev, Vyacheslav Ilyin   +5 more
doaj   +1 more source

Real-Time Prediction of Resident ADL Using Edge-Based Time-Series Ambient Sound Recognition

Sensors
To create an effective Ambient Assisted Living (AAL) system that supports the daily activities of patients or the elderly, it is crucial to accurately detect and differentiate user actions to determine the necessary assistance.
Cheolhwan Lee, Ah Hyun Yuh, Soon Ju Kang
doaj   +1 more source

Adversarial Attacks in Sound Event Classification

CoRR, 2019
Adversarial attacks refer to a set of methods that perturb the input to a classification model in order to fool the classifier. In this paper we apply different gradient based adversarial attack algorithms on five deep learning models trained for sound event classification. Four of the models use mel-spectrogram input and one model uses raw audio input.
Vinod Subramanian, Emmanouil Benetos, Ning Xu, SKoT McDonald, Mark B. Sandler   +4 more
openaire   +2 more sources

Environmental sound classification system

Доклады Белорусского государственного университета информатики и радиоэлектроники, 2019
This paper presents environmental sound classification system and performance comparison on ESC 10 dataset. The feature extraction method includes cochlea and auditory nerve models.
I. N. Zhuk
doaj  

Hierarchical Classification of Environmental Noise Sources Considering the Acoustic Signature of Vehicle Pass-Bys

Archives of Acoustics, 2013
This work is focused on the automatic recognition of environmental noise sources that affect humans’ health and quality of life, namely industrial, aircraft, railway and road traffic.
Xavier VALERO, Francesc ALIAS
doaj