Zhenyu Wang

Automatic Curriculum Learning With Over-repetition Penalty for Dialogue Policy Learning

2021 · Proceedings of the AAAI Conference on Artificial Intelligence

Dialogue policy learning based on reinforcement learning is difficult to be applied to real users to train dialogue agents from scratch because of the high cost. User simulators, which choose random user goals for the …

Impact of Naturalistic Field Acoustic Environments on Forensic Text-independent Speaker Verification System

2022 · arXiv (Cornell University)

Audio analysis for forensic speaker verification offers unique challenges in system performance due in part to data collected in naturalistic field acoustic environments where location/scenario uncertainty is common in the forensic data collection process. Forensic …