English Speech-to-IPA Leaderboard
Compare English phonetic transcription models for speech-to-IPA accuracy across accents and speech impairments.
Evaluation, compute & contributions
Evaluation
- PER (Phoneme Error Rate): Levenshtein distance between predicted and reference phoneme sequences.
- FER (Feature Error Rate): Edit distance weighted by phonetic features from panphon.
Models are evaluated across native, non-native, and impaired English speech. Read the metrics guide or how this leaderboard was built.
Compute and contributions
This leaderboard runs on the basic Hugging Face Spaces plan (16GB RAM, 2 vCPUs). Evaluations can take several hours; please submit each model only once.
Read the README, open a Space discussion, or contact info@koellabs.com.
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Model Type
Model Output Phonetic Code