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arXiv4h ago
4.6

Contextual Earnings-22: A Speech Recognition Benchmark with Custom Vocabulary in the Wild

Berkin Durmus, Chen Cen, Eduardo Pacheco, Arda Okan, Atila Orhon

View original ↗

Analysis

Viral velocity
low
Implementation gapYES
Novelty6/10
Categorytool
Topics
speechasrbenchmarkingcontext

Opportunity Brief

Release a benchmark specifically for speech-to-text in high-stakes fields with rare jargon. This encourages the development of models that prioritize context-aware transcription.

Suggested repo: context-speech

"Benchmark your speech model against real-world, high-stakes jargon."

Estimated effort: 25h