ICASSP 2021 - IEEE International Conference on Acoustics, Speech and Signal Processing is the world’s largest and most comprehensive technical conference focused on signal processing and its applications. The ICASSP 2021 conference will feature world-class presentations by internationally renowned speakers, cutting-edge session topics and provide a fantastic opportunity to network with like-minded professionals from around the world. Visit website.
- Read more about CANET: CONTEXT-AWARE LOSS FOR DESCRIPTOR LEARNING
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- Read more about LEARNING TO SELECT CONTEXT IN A HIERARCHICAL AND GLOBAL PERSPECTIVE FOR OPEN-DOMAIN DIALOGUE GENERATION
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- Read more about LEARNING TO SELECT CONTEXT IN A HIERARCHICAL AND GLOBAL PERSPECTIVE FOR OPEN-DOMAIN DIALOGUE GENERATION
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- Read more about SANDGLASSET: A LIGHT MULTI-GRANULARITY SELF-ATTENTIVE NETWORK FOR TIME-DOMAIN SPEECH SEPARATION
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One of the leading single-channel speech separation (SS) models is based on a TasNet with a dual-path segmentation technique, where the size of each segment remains unchanged throughout all layers. In contrast, our key finding is that multi-granularity features are essential for enhancing contextual modeling and computational efficiency. We introduce a self-attentive network with a novel sandglass-shape, namely Sandglasset, which advances the state-of-the-art (SOTA) SS performance at significantly smaller model size and computational cost.
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- Read more about Exposing GAN-generated Faces Using Inconsistent Corneal Specular Highlights
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