A new study developed a snore-source classification model that uses STFT spectrograms, pretrained CNN features, and an L2-regularized SVM to identify where snoring originates in the upper airway.
Abstract: The passive acoustic monitoring of marine mammals is an essential tool for researchers tracking the populations of individual species in threatened environments. Given the large quantity of ...
New York, USA - US-DATA helps companies turn raw images, videos, audio and text into high-quality datasets for training, ...
Modulate is building the voice layer for the internet. There are dozens of public comparison datasets, universally accepted accuracy metrics, and no shortage of academic papers on ASR, so you might ...
Your browser does not support the audio element. Classifying video presents unique challenges for machine learning models. As I’ve covered in my previous posts ...
This paper explores the evolving landscape of data security in artificial intelligence (AI) environments and provides practical guidance aligned with the Cloud Security Alliance (CSA) AI Controls ...
Image, audio and visual analysis are being added to a suite of artificial intelligence (AI) functions, which includes suptech and market sentiment warnings In the past year, the Bank of Portugal has ...
EEG-basedemotion decoding is essential for unveiling neural mechanisms underlying emotion and enabling artificial intelligence to understand human emotions. However, existing datasets for EEG-based ...
Abstract: Electroencephalogram (EEG) is the graphical representation of Brain’s electrical activity. Mental stress can be detected in many ways and EEG is one of them. Regular mental stress gives rise ...
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