VoiceBench: Benchmarking LLM-Based Voice Assistants.

Comprehensive evaluation benchmark for voice agents (LLM-based speech assistants) measuring instruction following, robustness to accents/noise/content variations, and task performance across diverse scenarios.

Best published scores.

No results indexed yet — be the first to submit a score.

Primary

accuracy · higher is better

Neighbouring benchmarks.

Other Audio-Text-to-Text datasets on Codesota.

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this table?

Submit a checkpoint and a reproduction script. We will run it, publish the score, and — if it takes the top — annotate the step on the progress chart with your name.

• 01A public checkpoint or API endpoint
• 02A reproduction script with frozen commit + seed
• 03Declared evaluation environment (Python, deps)
• 04One row per metric declared by this dataset
• 05A contact so we can follow up on discrepancies