Simulating Full-Duplex Conversations for Evaluating AI Systems
Rapid advances are being made in conversational artificial intelligence, including systems that support so called full-duplex spoken interactions, i.e. permitting users to speak naturally, interrupt system responses, and signal engagement via back-channels, as they would do with a human interlocuter. However, methodologies and benchmarks for evaluating such systems are not keeping pace: a major challenge […]