FMSU
Collection
Towards Fine-Grained Multi-Dimensional Speech Understanding: Data Pipeline, Benchmark, and Model • 2 items • Updated
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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.
- Scale & Scope: Comprises over 24,000 bilingual instances (Chinese/English), manually verified by domain experts.
- Comprehensive Taxonomy: Systematically covers 14 distinct speech dimensions structured into a 5-tier taxonomy:
- Speaker Demographics: Gender, Age, Accent
- Acoustic-Prosodic Features: Pitch, Speaking Rate, Rhythm, Voice Texture
- Affective and Semantic Reasoning: Emotion, Tone, Contextual Inference
- Acoustic Scene Analysis: Background Sound, Acoustic Environment
- Linguistic-Paralinguistic Integration: Paralinguistic Events, Transcription with Paralinguistic Tags (Evaluated via our novel PATA metric).
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