AudioBench.

AudioBench is a universal benchmark designed to evaluate Audio Large Language Models (AudioLLMs). It encompasses 8 distinct tasks and 26 datasets, including newly proposed datasets. Its task categories include Speech Understanding, Audio-Scene Understanding, Voice Understanding (Paralinguistic), Music Understanding, and Singlish Understanding.

Best published scores.

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

Neighbouring benchmarks.

Other Few-Shot Image Classification datasets on Codesota.

Have a score that beats
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