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Found 9 papers, 0 papers with code
Detecting the Undetectable: Assessing the Efficacy of Current Spoof Detection Methods Against Seamless Speech Edits
Neural speech editing advancements have raised concerns about their misuse in spoofing attacks.
Scalable Ensemble-based Detection Method against Adversarial Attacks for speaker verification
Automatic speaker verification (ASV) is highly susceptible to adversarial attacks.
The 2nd Workshop on Maritime Computer Vision (MaCVi) 2024
The 2nd Workshop on Maritime Computer Vision (MaCVi) 2024 addresses maritime computer vision for Unmanned Aerial Vehicles (UAV) and Unmanned Surface Vehicles (USV).
Ranked #1 on
Semantic Segmentation
on LaRS
Sea You Later: Metadata-Guided Long-Term Re-Identification for UAV-Based Multi-Object Tracking
Re-identification (ReID) in multi-object tracking (MOT) for UAVs in maritime computer vision has been challenging for several reasons.
Study on the Correlation between Objective Evaluations and Subjective Speech Quality and Intelligibility
Moreover, new objective measures are proposed that combine current objective measures using deep learning techniques to predict subjective quality and intelligibility.
Partially Fake Audio Detection by Self-attention-based Fake Span Discovery
Also ADD 2022 is the first challenge to propose the partially fake audio detection task.
Toward Real-World Voice Disorder Classification
Conclusion: By deploying factorized convolutional neural networks and domain adversarial training, domain-invariant features can be derived for voice disorder classification with limited resources.
Domain-adaptive Fall Detection Using Deep Adversarial Training
The proposed DAFD can transfer knowledge from the source domain to the target domain by minimizing the domain discrepancy to avoid mismatch problems.
Boosting Objective Scores of a Speech Enhancement Model by MetricGAN Post-processing
The Transformer architecture has demonstrated a superior ability compared to recurrent neural networks in many different natural language processing applications.
