Datasets › TED-LIUM

TED-LIUM

Introduced by Anthony Rousseau et al. in TED-LIUM: an Automatic Speech Recognition dedicated corpus1 May 2012 archive 2025-07-28

The TED-LIUM corpus consists of English-language TED talks. It includes transcriptions of these talks. The audio is sampled at 16kHz. The dataset spans a range of 118 to 452 hours of transcribed speech data.

Benchmarks archive 2025-07-28

All 2 leaderboards whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.

First row (archive order)PaperCode
Speech Recognition Tedlium United-MedASR (764M) Word Error Rate (WER) 0.29 High-precision medical speech recognition through... — 4 Compare
Speech Recognition TED-LIUM Whisper-LLaMa-7b Word Error Rate (WER) 4.6 HyPoradise: An Open Baseline for Generative Speech... hypotheses-paradise/hypo2trans 2 Compare

Papers archive 2025-07-28

5 shown of 5 papers with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 64. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.

Dataset loaders archive 2025-07-28

2 loaders as listed in the archive; links are outbound and not re-checked here.

Tasks archive 2025-07-28

License archive 2025-07-28

CC BY-NC-ND 3.0

Modalities archive 2025-07-28

Languages archive 2025-07-28

Variants archive 2025-07-28

  • TED-LIUM
  • Tedlium

2 variant names, as the archive lists them.

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