Abstract: Transformer-based methods have demonstrated promising performance in long-term time series forecasting. However, existing methods often consider interactions among all variables when ...
Abstract: This work introduces a novel approach to non-parallel voice conversion (VC) through contrastive learning with selective attention (CSA). Unlike traditional methods that suffer from ...
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