Conversational voice and audio understanding / Benchmark leaderboard
MMAU
Audio understanding/reasoning over speech, sound and music.
No published company result yet.
This benchmark is in the research directory. Its task package, adapter and grading protocol need qualification before a hosted run can be offered.
Arrange an evaluation for your company →What this benchmark measures
Metrics
Question-answer accuracy by audio category.
Execution requirements
Audio-language model receiving the original clips.
Scope and limitations
Harbor's 1,000-task adapter uses Qwen2-Audio transcripts for text models. That port does not measure native audio perception and must be labeled separately.
Evaluation availability
Catalog entry. Request a managed evaluation to qualify your agent interface and the benchmark’s native grading requirements.
Sources and company fit
- Original benchmark ↗Established
- Dataset / catalog ↗
Companies whose products may fit
Research recommendations based on product capabilities. These companies have not necessarily run this benchmark or integrated with Blobfish.
Compatibility notes for each company
Alibaba Qwen: Capability-aligned; adapter/access to qualify
Google DeepMind: Capability-aligned; adapter/access to qualify
Hume AI: Capability-aligned; adapter/access to qualify
Meta: Capability-aligned; adapter/access to qualify
OpenAI: Capability-aligned; adapter/access to qualify
Twelve Labs: Capability-aligned; adapter/access to qualify