Classification of partial discharge images using deep convolutional neural networks
M Florkowski - Energies, 2020 - mdpi.com
Artificial intelligence-based solutions and applications have great potential in various fields
of electrical power engineering. The problem of the electrical reliability of power equipment …
of electrical power engineering. The problem of the electrical reliability of power equipment …
Optimizing tandem speaker verification and anti-spoofing systems
As automatic speaker verification (ASV) systems are vulnerable to spoofing attacks, they are
typically used in conjunction with spoofing countermeasure (CM) systems to improve …
typically used in conjunction with spoofing countermeasure (CM) systems to improve …
Automatic Assessment of Parkinson's Disease Using Speech Representations of Phonation and Articulation
Speech from people with Parkinson's disease (PD) are likely to be degraded on phonation,
articulation, and prosody. Motivated to describe articulation deficits comprehensively, we …
articulation, and prosody. Motivated to describe articulation deficits comprehensively, we …
Cost sensitive optimization of deepfake detector
I Kukanov, J Karttunen, H Sillanpää… - 2020 Asia-Pacific …, 2020 - ieeexplore.ieee.org
Since the invention of cinema, the manipulated videos have existed. But generating
manipulated videos that can fool the viewer has been a time-consuming endeavor. With the …
manipulated videos that can fool the viewer has been a time-consuming endeavor. With the …
[PDF][PDF] Recurrent neural network and maximal figure of merit for acoustic event detection
In this report, we describe the systems submitted to the DCASE 2017 challenge. In
particular, we explored convolutional recurrent neural network (CRNN) for acoustic scene …
particular, we explored convolutional recurrent neural network (CRNN) for acoustic scene …
Maximal figure-of-merit framework to detect multi-label phonetic features for spoken language recognition
Bottleneck features (BNFs) generated with a deep neural network (DNN) have proven to
boost spoken language recognition accuracy over basic spectral features significantly …
boost spoken language recognition accuracy over basic spectral features significantly …
Maximal figure-of-merit embedding for multi-label audio classification
This work tackles the problem of the domestic audio tagging or environmental sound
classification, where one audio recording can contain one or more acoustic events and a …
classification, where one audio recording can contain one or more acoustic events and a …
An initial investigation on optimizing tandem speaker verification and countermeasure systems using reinforcement learning
The spoofing countermeasure (CM) systems in automatic speaker verification (ASV) are not
typically used in isolation of each other. These systems can be combined, for example, into a …
typically used in isolation of each other. These systems can be combined, for example, into a …
Dynamic Field Monitoring Based on Multitask Learning in Sensor Networks
D Wang, X Zhang - Sensors, 2019 - mdpi.com
Field monitoring serves as an important supervision tool in a variety of engineering domains.
An efficient monitoring would trigger an alarm timely once it detects an out-of-control event …
An efficient monitoring would trigger an alarm timely once it detects an out-of-control event …
[PDF][PDF] PLATFORMĂ DE MENTENANȚĂ ÎN INDUSTRIA 4.0
GDC Narcisa, CE COTEȚ - docs.upb.ro
Ca urmare a noii revoluții industriale (Industry 4.0), ne regăsim într-o perioadă caracterizată
de automatizarea, digitizarea și interconectarea componentelor din procesele de producție …
de automatizarea, digitizarea și interconectarea componentelor din procesele de producție …