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Existing benchmarks predominantly cater to macroscopic tasks and suffer from coarse annotation granularity. We construct **FMSU-Bench**, a pioneering Fine-grained Multi-dimensional Speech Understanding Benchmark.
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* **Scale & Scope:** Comprises over **24,000 bilingual instances** (Chinese/English), manually verified by domain experts.
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* **Comprehensive Taxonomy:** Systematically covers **14 distinct speech dimensions** structured into a 5-tier taxonomy:
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1. *Speaker Demographics:* Gender, Age, Accent
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2. *Acoustic-Prosodic Features:* Pitch, Speaking Rate, Rhythm, Voice Texture
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3. *Affective and Semantic Reasoning:* Emotion, Tone, Contextual Inference
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4. *Acoustic Scene Analysis:* Background Sound, Acoustic Environment
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5. *Linguistic-Paralinguistic Integration:* Paralinguistic Events, Transcription with Paralinguistic Tags (Evaluated via our novel **PATA** metric).
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