A reinforcement-driven multiple-instance learning method for multi-task speaker attribute prediction
Standard models for predicting speaker attributes from text often fail to manage multiple, interdependent attributes simultaneously, and existing Reinforced Multiple-Instance Learning (RL–MIL) frameworks are typically limited to single-task prediction. To address this, we propose and evaluate a Reinforced, Multi-Task,...