Voice agents keep tasks on track despite noisy surroundings
Voice Agents under Acoustic Stress: From Signal Degradation to Interaction and Action
Human-Computer Interaction
Summary
Voice assistants often struggle to complete tasks when there is background noise or echoes. The authors looked at how well these agents work in noisy conditions and introduced a step-by-step process called TRACE to test this. TRACE compares how an agent performs a task with a clear recording versus a noisy one, scoring how well it completes the task and handles mistakes. This approach can help improve voice assistants so they make fewer errors and recover faster during real conversations.
What this means in practice
- •For voice assistant developers: Test and improve voice agents to handle noisy environments and reduce incorrect actions during tasks.
- •For call center technology teams: Ensure automated customer service agents maintain task success despite background noise or overlapping speech during calls.
Authors
Amir Ivry, Kai-Wei Chang, Lin Zhang, Sharon Gannot, Carlos Busso
Abstract
Voice agents must complete users' tasks despite noise, reverberation, and competing speech. Evaluating agents' robustness therefore requires following how acoustic conditions affect the conversation and the actions taken on the user's behalf. This overview examines what existing benchmarks reveal about agents' ability to complete tasks under acoustic stress and where further task-based evaluation is required. We then introduce TRACE, a practical workflow for designing, running, and interpreting evaluations of acoustic robustness in task-oriented human-agent interactions: the same agent attempts a specified task with an original recording and an acoustically stressed copy, and the resulting conversations are scored for task completion, wrong actions, recovery, and user effort. Finally, we explain how results from these evaluations can guide changes to an agent to prevent wrong actions and improve recovery.