How to View Turn-by-Turn Transcripts on AudioArena
Updated
To view a turn-by-turn transcript on AudioArena, you select three things in sequence: a benchmark, a model, and a specific run. The transcript then shows how the voice agent handled each turn of that conversation. This works for any of the six static multi-turn voice agent benchmarks on the site — Appointment, Assistant, Conversation, Event, Grocery, and Product — and any model or run available for them.
Steps
- Select a benchmark. Choose one of the six AudioAgentBench benchmarks: Appointment, Assistant, Conversation, Event, Grocery, or Product. Each is a static multi-turn voice agent scenario, so pick the one closest to the interaction you want to inspect.
- Select a model. Choose the voice model whose behavior you want to examine. Results are scored across five dimensions, so the model you pick determines which scores and transcripts you'll see.
- Select a run. A model can have more than one run on a benchmark. Pick the specific run you want to inspect — the transcript belongs to that run, not to the model in general.
- Read the transcript. The turn-by-turn transcript opens for that benchmark/model/run combination, letting you follow the conversation one turn at a time.
What you get
| Selection | What it determines |
|---|---|
| Benchmark | Which scenario and task the agent was tested on |
| Model | Which voice model's behavior and scores you're viewing |
| Run | Which individual attempt's transcript you open |
The transcript is the record of a single run, so two runs of the same model on the same benchmark can be compared by opening each separately.
Common snags
- No transcript appears: confirm all three selections are made. The transcript is tied to a specific run, so a benchmark and model alone aren't enough.
- Comparing models: keep the benchmark and, where possible, the run conditions consistent so differences reflect the model rather than the scenario.
- Understanding the scores: the five scoring dimensions and the benchmark setup are explained in AudioArena's methodology, which is worth reading before drawing conclusions from a single transcript.
AudioAgentBench is published by Arcada Labs, By The Intelligence Company, with the project available on GitHub.