FFASR Leaderboard Launched: Benchmark for Evaluating ASR in Real Acoustic Conditions
Hugging Face and Treble Technologies have launched the Far-Field ASR (FFASR) Leaderboard, the first open community-driven benchmark for evaluating ASR models under realistic far-field conditions like reverberation, background noise, and microphone distance. Initial results show far-field WER at low SNR is several times higher than near-field WER, highlighting a significant gap between benchmark performance and real-world deployment.
Treble Technologies
Hugging Face
OpenAI
IBM
Cohere
Meta
SpeechBrain
Hugging Face blog27.07 · 10:05
