Audio tampering forensics based on representation learning of enf phase sequence
This paper proposes an audio tampering detection method based on the ENF phase and BI-
LSTM network from the perspective of temporal feature representation learning. First, the …
LSTM network from the perspective of temporal feature representation learning. First, the …
Stacked auto-encoders based visual features for speech/music classification
With the rapid rise of online available content, multimedia signal processing has become an
important area of research. The output of the speech/music classifier (SMC) is further used …
important area of research. The output of the speech/music classifier (SMC) is further used …
Automatic text-independent speaker verification using convolutional deep belief network
IA Rakhmanenko, AA Shelupanov… - Computer …, 2020 - ui.adsabs.harvard.edu
This paper is devoted to the use of the convolutional deep belief network as a speech
feature extractor for automatic text-independent speaker verification. The paper describes …
feature extractor for automatic text-independent speaker verification. The paper describes …
Photovoltaic panel defect detection based on ghost convolution with BottleneckCSP and tiny target prediction head incorporating YOLOv5
L Li, Z Wang, T Zhang - arXiv preprint arXiv:2303.00886, 2023 - arxiv.org
Photovoltaic (PV) panel surface-defect detection technology is crucial for the PV industry to
perform smart maintenance. Using computer vision technology to detect PV panel surface …
perform smart maintenance. Using computer vision technology to detect PV panel surface …
Learning behavior recognition in smart classroom with multiple students based on YOLOv5
Deep learning-based computer vision technology has grown stronger in recent years, and
cross-fertilization using computer vision technology has been a popular direction in recent …
cross-fertilization using computer vision technology has been a popular direction in recent …
DSARSR: Deep Stacked Auto-encoders Enhanced Robust Speaker Recognition
Speaker recognition is a biometric modality that utilizes the speaker's speech segments to
recognize the identity, determining whether the test speaker belongs to one of the enrolled …
recognize the identity, determining whether the test speaker belongs to one of the enrolled …
Multi-Scale Deformable Transformers for Student Learning Behavior Detection in Smart Classroom
The integration of Artificial Intelligence into the modern educational system is rapidly
evolving, particularly in monitoring student behavior in classrooms, a task traditionally …
evolving, particularly in monitoring student behavior in classrooms, a task traditionally …
DKT-STDRL: Spatial and Temporal Representation Learning Enhanced Deep Knowledge Tracing for Learning Performance Prediction
L Lyu, Z Wang, H Yun, Z Yang, Y Li - arXiv preprint arXiv:2302.11569, 2023 - arxiv.org
Knowledge tracing (KT) serves as a primary part of intelligent education systems. Most
current KTs either rely on expert judgments or only exploit a single network structure, which …
current KTs either rely on expert judgments or only exploit a single network structure, which …
PhysioFormer: Integrating Multimodal Physiological Signals and Symbolic Regression for Explainable Affective State Prediction
Most affective computing tasks still rely heavily on traditional methods, with few deep
learning models applied, particularly in multimodal signal processing. Given the importance …
learning models applied, particularly in multimodal signal processing. Given the importance …
End-to-end Recording Device Identification Based on Deep Representation Learning
Deep learning techniques have achieved specific results in recording device source
identification. The recording device source features include spatial information and certain …
identification. The recording device source features include spatial information and certain …