Post by Appen

Appen partnered with Hugging Face to bring private, benchmarking-resistant ASR evaluation datasets to the Open ASR Leaderboard. The leaderboard has been visited over 710,000 times since 2023. But public benchmarks have a problem: models can be optimized to climb rankings without actually performing better in the real world. That's benchmaxxing. Our contribution: seven private English ASR datasets spanning scripted and conversational speech across American, Australian, Canadian, and Indian accents. Because they're kept private, they can't be gamed, making leaderboard results more trustworthy. The data speaks for itself. When our datasets are included, model rankings shift. That's the signal a public-only benchmark can't give you. Read the full story → https://lnkd.in/eFibXcES #SpeechAI #ASR #AIEvaluation #HuggingFace #Benchmarking