Speaker Verification in Agent-Generated Conversations

arXiv:2405.10150v1 Announce Type: new
Abstract: The recent success of large language models (LLMs) has attracted widespread interest to develop role-playing conversational agents personalized to the characteristics and styles of different speakers to enhance their abilities to perform both general and special purpose dialogue tasks. However, the ability to personalize the generated utterances to speakers, whether conducted by human or LLM, has not been well studied. To bridge this gap, our study introduces a novel evaluation challenge: speaker verification in agent-generated …

abstract agent agents arxiv conversational conversational agents conversations cs.cl dialogue general generated however language language models large language large language models llms personalized playing role speaker speakers success tasks type verification