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Found 5 papers, 2 papers with code
Text-to-ECG: 12-Lead Electrocardiogram Synthesis conditioned on Clinical Text Reports
We compare the performance of our model with other representative models in text-to-speech and text-to-image.
Lead-agnostic Self-supervised Learning for Local and Global Representations of Electrocardiogram
In this work, we propose an ECG pre-training method that learns both local and global contextual representations for better generalizability and performance on downstream tasks.
VoiceMixer: Adversarial Voice Style Mixup
This insufficiency leads to the converted speech containing source speech style or losing source speech content.
Reinforce-Aligner: Reinforcement Alignment Search for Robust End-to-End Text-to-Speech
Experimental results also show the superiority of our proposed model compared to other state-of-the-art TTS models with internal and external aligners.
Rotation Invariant Aerial Image Retrieval with Group Convolutional Metric Learning
In this work, we introduce a novel method for retrieving aerial images by merging group convolution with attention mechanism and metric learning, resulting in robustness to rotational variations.
