Results 31 to 40 of about 1,664,025 (288)

Audio-visual speech recognition with background music using single-channel source separation [PDF]

open access: yes, 2012
In this paper, we consider audio-visual speech recognition with background music. The proposed algorithm is an integration of audio-visual speech recognition and single channel source separation (SCSS). We apply the proposed algorithm to recognize spoken
Erdogan, Hakan   +4 more
core   +1 more source

New hos-based parameter estimation methods for speech recognition in noisy environments [PDF]

open access: yes, 1995
The problem of recognition in noisy environments is addressed. Often, a recognition system is used in a noisy environment and there is no possibility of training it with noisy samples.
Moreno Bilbao, M. Asunción   +3 more
core   +1 more source

Short-Time/-Angle Spectral Analysis for Vibration Monitoring of Bearing Failures under Variable Speed

open access: yesApplied Sciences, 2021
Vibration-condition monitoring aims to detect bearing damages of rotating machinery’s incipient failures mainly through time–frequency methods because of their efficient analysis of nonstationary signals. However, by having failures with impulse behavior,
Edgar F. Sierra-Alonso   +4 more
doaj   +1 more source

Chained Deep Learning Using Generalized Cross-Entropy for Multiple Annotators Classification

open access: yesSensors, 2023
Supervised learning requires the accurate labeling of instances, usually provided by an expert. Crowdsourcing platforms offer a practical and cost-effective alternative for large datasets when individual annotation is impractical.
Jenniffer Carolina Triana-Martinez   +4 more
doaj   +1 more source

A modular self-assembled sensing system for heavy metal ions with tunable sensitivity and selectivity [PDF]

open access: yes, 2017
Here we describe a self-assembled sensing system composed of three separate modules: gold nano particles, a reporter element, and a recognition element. The gold nanoparticles serve as a multivalent platform for the interaction with both the reporter and
Maiti, Subhabrata, Prins, Leonard J.
core   +1 more source

Entropy-Based Estimation of Event-Related De/Synchronization in Motor Imagery Using Vector-Quantized Patterns

open access: yesEntropy, 2020
Assessment of brain dynamics elicited by motor imagery (MI) tasks contributes to clinical and learning applications. In this regard, Event-Related Desynchronization/Synchronization (ERD/S) is computed from Electroencephalographic signals, which show ...
Luisa Velasquez-Martinez   +2 more
doaj   +1 more source

Posthoc Interpretability of Neural Responses by Grouping Subject Motor Imagery Skills Using CNN-Based Connectivity

open access: yesSensors, 2023
Motor Imagery (MI) refers to imagining the mental representation of motor movements without overt motor activity, enhancing physical action execution and neural plasticity with potential applications in medical and professional fields like rehabilitation
Diego Fabian Collazos-Huertas   +4 more
doaj   +1 more source

Individual Detection of Citrus and Avocado Trees Using Extended Maxima Transform Summation on Digital Surface Models

open access: yesRemote Sensing, 2020
Individual tree detection (ITD) locates plants from images to estimate monitoring parameters, helping the management of forestry and agriculture systems.
Daniel G. García-Murillo   +2 more
doaj   +1 more source

Emotion recognition using wireless signals [PDF]

open access: yesProceedings of the 22nd Annual International Conference on Mobile Computing and Networking, 2016
This paper demonstrates a new technology that can infer a person's emotions from RF signals reflected off his body. EQ-Radio transmits an RF signal and analyzes its reflections off a person's body to recognize his emotional state (happy, sad, etc.). The key enabler underlying EQ-Radio is a new algorithm for extracting the individual heartbeats from the
Zhao, Mingmin, Adib, Fadel, Katabi, Dina
openaire   +6 more sources

Explainable Deep Kernel Learning for Interpretable Automatic Modulation Classification

open access: yesComputers
Modern wireless communication systems increasingly rely on Automatic Modulation Classification (AMC) to enhance reliability and adaptability, especially in the presence of severe signal degradation.
Carlos Enrique Mosquera-Trujillo   +4 more
doaj   +1 more source

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