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Found 4 papers, 1 papers with code
Algorithms for Object Detection in Substations
Inspection of high-voltage power equipment is an effective way to ensure power supply reliability.
Bootstrapping meaning through listening: Unsupervised learning of spoken sentence embeddings
Inducing semantic representations directly from speech signals is a highly challenging task but has many useful applications in speech mining and spoken language understanding.
Convolutional Neural Networks with A Topographic Representation Module for EEG-Based Brain-Computer Interfaces
Significance: We improve the classification performance of 3 CNNs on 2 datasets by the use of TRM, indicating that it has the capability to mine the EEG spatial topological information.
Ultra2Speech -- A Deep Learning Framework for Formant Frequency Estimation and Tracking from Ultrasound Tongue Images
Thousands of individuals need surgical removal of their larynx due to critical diseases every year and therefore, require an alternative form of communication to articulate speech sounds after the loss of their voice box.
