Does Your Voice Assistant Remember? Analyzing Conversational Context Recall and Utilization in Voice Interaction Models
Year: 2025
Type: conference-paper
Abstract: Recent advancements in multi-turn voice interaction models have improved user-model communication.However, while closed-source models effectively retain and recall past utterances, whether open-source models share this ability remains unexplored.To fill this gap, we systematically evaluate how well open-source interaction models utilize past utterances using ContextDialog, a benchmark we proposed for this purpose.Our findings show that speechbased models have more difficulty than textbased ones, especially when recalling information conveyed in speech, and even with retrieval-augmented generation, models still struggle with questions about past utterances.These insights highlight key limitations in opensource models and suggest ways to improve memory retention and retrieval robustness.
Authors: Heeseung Kim, Che Hyun Lee, Sangkwon Park, Jiheum Yeom, Nohil Park, Sangwon Yu, Sungroh Yoon
Institution: Seoul National University
Language: English
Topic: Speech and dialogue systems
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
OpenAlex ID: W4412888357
