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Codesota · Models · Parakeet-tdt_ctc-110m9 results · 8 benchmarks
Model card

Parakeet-tdt_ctc-110m.

unknown
§ 02 · Benchmarks

Every benchmark Parakeet-tdt_ctc-110m has a recorded score for.

#BenchmarkArea · TaskMetricValueRankDateSource
01Open ASR LeaderboardSpeech · Speech Recognitionrtfx5345.14#3/50source ↗
02TED-LIUMSpeech · Speech Recognitionwer4.1%#29/50source ↗
03GigaSpeechSpeech · Speech Recognitionwer10.5%#33/47source ↗
04Earnings-22Speech · Speech Recognitionwer12.4%#36/50source ↗
05AMI-IHMSpeech · Speech Recognitionwer15.9%#38/50source ↗
06VoxPopuliSpeech · Speech Recognitionwer6.9%#40/55source ↗
07Open ASR LeaderboardSpeech · Speech Recognitionwer7.5%#43/52source ↗
08SPGISpeechSpeech · Speech Recognitionwer2.5%#49/56source ↗
09LibriSpeechSpeech · Speech Recognitionwer5.2%#66/92source ↗
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 Parakeet-tdt_ctc-110m actually performs.

Speech
8
benchmarks
avg rank #37.4
§ 04 · Papers

1 paper with results for Parakeet-tdt_ctc-110m.

  1. 2023-04-13· 9 results

    Efficient Sequence Transduction by Jointly Predicting Tokens and Durations

§ 06 · Sources & freshness

Where these numbers come from.

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