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Codesota · Models · Data2vec-audio-base-960h9 results · 8 benchmarks
Model card

Data2vec-audio-base-960h.

unknown
§ 02 · Benchmarks

Every benchmark Data2vec-audio-base-960h has a recorded score for.

#BenchmarkArea · TaskMetricValueRankDateSource
01AMI-IHMSpeech · Speech Recognitionwer47.3%#2/50source ↗
02Earnings-22Speech · Speech Recognitionwer49.6%#2/50source ↗
03GigaSpeechSpeech · Speech Recognitionwer29.8%#3/47source ↗
04Open ASR LeaderboardSpeech · Speech Recognitionwer28.3%#3/52source ↗
05SPGISpeechSpeech · Speech Recognitionwer25.5%#3/56source ↗
06TED-LIUMSpeech · Speech Recognitionwer19.5%#3/50source ↗
07VoxPopuliSpeech · Speech Recognitionwer27.3%#4/55source ↗
08Open ASR LeaderboardSpeech · Speech Recognitionrtfx648.14#12/50source ↗
09LibriSpeechSpeech · Speech Recognitionwer15.5%#91/92source ↗
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 Data2vec-audio-base-960h actually performs.

Speech
8
benchmarks
avg rank #13.7
§ 04 · Papers

1 paper with results for Data2vec-audio-base-960h.

  1. 2022-02-07· 9 results

    data2vec: A General Framework for Self-supervised Learning in Speech, Vision and Language

§ 06 · Sources & freshness

Where these numbers come from.

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