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Codesota · Models · Whisper-medium.en9 results · 8 benchmarks
Model card

Whisper-medium.en.

unknown
§ 02 · Benchmarks

Every benchmark Whisper-medium.en has a recorded score for.

#BenchmarkArea · TaskMetricValueRankDateSource
01GigaSpeechSpeech · Speech Recognitionwer11.0%#27/47source ↗
02TED-LIUMSpeech · Speech Recognitionwer4.1%#28/50source ↗
03Open ASR LeaderboardSpeech · Speech Recognitionwer8.1%#31/52source ↗
04AMI-IHMSpeech · Speech Recognitionwer16.7%#32/50source ↗
05VoxPopuliSpeech · Speech Recognitionwer8.1%#32/55source ↗
06Earnings-22Speech · Speech Recognitionwer12.6%#34/50source ↗
07SPGISpeechSpeech · Speech Recognitionwer3.3%#34/56source ↗
08Open ASR LeaderboardSpeech · Speech Recognitionrtfx182.13#40/50source ↗
09LibriSpeechSpeech · Speech Recognitionwer5.8%#71/92source ↗
Rank column shows this model’s position vs all other models scored on the same benchmark + metric (competitors after the slash). #1 in red means current SOTA. Sorted by rank, then newest result.
§ 03 · Strengths by area

Where Whisper-medium.en actually performs.

Speech
8
benchmarks
avg rank #36.6
§ 04 · Papers

1 paper with results for Whisper-medium.en.

  1. 2022-12-06· 9 results

    Robust Speech Recognition via Large-Scale Weak Supervision

§ 06 · Sources & freshness

Where these numbers come from.

pwc-dump
9
results
0 of 9 rows marked verified.