mlsanityData to 7 Oct 2026

TED-LIUM 3: twice as much data and corpus repartition for experiments on speaker adaptation

arXiv 1805.04699 ↗First posted 12 May 2018cs.CLcited by 224

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Abstract (arXiv)

In this paper, we present TED-LIUM release 3 corpus dedicated to speech recognition in English, that multiplies by more than two the available data to train acoustic models in comparison with TED-LIUM 2. We present the recent development on Automatic Speech Recognition (ASR) systems in comparison with the two previous releases of the TED-LIUM Corpus from 2012 and 2014. We demonstrate that, passing from 207 to 452 hours of transcribed speech training data is really more useful for end-to-end ASR systems than for HMM-based state-of-the-art ones, even if the HMM-based ASR system still outperforms end-to-end ASR system when the size of audio training data is 452 hours, with respectively a Word Error Rate (WER) of 6.6% and 13.7%. Last, we propose two repartitions of the TED-LIUM release 3 corpus: the legacy one that is the same as the one existing in release 2, and a new one, calibrated and designed to make experiments on speaker adaptation. Like the two first releases, TED-LIUM 3 corpus will be freely available for the research community.

Key facts. Cited by 224 papers in the map (data through 7 Oct 2026). First posted on arXiv 12 May 2018.

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Citing papers per year: 2021: 39; 2022: 32; 2023: 36; 2024: 45; 2025: 43; 2026: 29.

224 papers.

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  1. 2022Robust Speech Recognition via Large-Scale Weak Supervisioncited by 3,972
  2. 2021SpeechBrain: A General-Purpose Speech Toolkitcited by 404
  3. 2021GigaSpeech: An Evolving, Multi-domain ASR Corpus with 10,000 Hours of Transcribed Audiocited by 391
  4. 2022Self-Supervised Speech Representation Learning: A Reviewcited by 258
  5. 2023Google USM: Scaling Automatic Speech Recognition Beyond 100 Languagescited by 228
  6. 2021Robust wav2vec 2.0: Analyzing Domain Shift in Self-Supervised Pre-Trainingcited by 148
  7. 2025On The Landscape of Spoken Language Models: A Comprehensive Surveycited by 116
  8. 2023Auto-AVSR: Audio-Visual Speech Recognition with Automatic Labelscited by 113
  9. 2022Visual Speech Recognition for Multiple Languages in the Wildcited by 94
  10. 2021BigSSL: Exploring the Frontier of Large-Scale Semi-Supervised Learning for Automatic Speech Recognitioncited by 88
  11. 2023Distil-Whisper: Robust Knowledge Distillation via Large-Scale Pseudo Labellingcited by 87
  12. 2021SpeechStew: Simply Mix All Available Speech Recognition Data to Train One Large Neural Networkcited by 83
38 more
  1. 2021SPGISpeech: 5,000 hours of transcribed financial audio for fully formatted end-to-end speech recognitioncited by 77
  2. 2021UniSpeech: Unified Speech Representation Learning with Labeled and Unlabeled Datacited by 76
  3. 2023BLSP: Bootstrapping Language-Speech Pre-training via Behavior Alignment of Continuation Writingcited by 75
  4. 2024OWSM v3.1: Better and Faster Open Whisper-Style Speech Models based on E-Branchformercited by 74
  5. 2021SLUE: New Benchmark Tasks for Spoken Language Understanding Evaluation on Natural Speechcited by 70
  6. 2021Performance-Efficiency Trade-offs in Unsupervised Pre-training for Speech Recognitioncited by 68
  7. 2024mHuBERT-147: A Compact Multilingual HuBERT Modelcited by 64
  8. 2024OmniFlatten: An End-to-end GPT Model for Seamless Voice Conversationcited by 57
  9. 2023Can Generative Large Language Models Perform ASR Error Correction?cited by 56
  10. 2021Cascade versus Direct Speech Translation: Do the Differences Still Make a Difference?cited by 54
  11. 2024Towards Robust Speech Representation Learning for Thousands of Languagescited by 48
  12. 2021CAPE: Encoding Relative Positions with Continuous Augmented Positional Embeddingscited by 47
  13. 2022Enhanced Direct Speech-to-Speech Translation Using Self-supervised Pre-training and Data Augmentationcited by 43
  14. 2022Jointly Learning Visual and Auditory Speech Representations from Raw Datacited by 43
  15. 2023Watch or Listen: Robust Audio-Visual Speech Recognition with Visual Corruption Modeling and Reliability Scoringcited by 42
  16. 2023Reproducing Whisper-Style Training Using an Open-Source Toolkit and Publicly Available Datacited by 42
  17. 2023Exploring Speech Recognition, Translation, and Understanding with Discrete Speech Units: A Comparative Studycited by 42
  18. 2023HyPoradise: An Open Baseline for Generative Speech Recognition with Large Language Modelscited by 41
  19. 2021An Exploration of Self-Supervised Pretrained Representations for End-to-End Speech Recognitioncited by 39
  20. 2021Momentum Pseudo-Labeling for Semi-Supervised Speech Recognitioncited by 37
  21. 2022Open Source MagicData-RAMC: A Rich Annotated Mandarin Conversational(RAMC) Speech Datasetcited by 36
  22. 2022Transformer-Based Multi-Aspect Multi-Granularity Non-Native English Speaker Pronunciation Assessmentcited by 36
  23. 2022u-HuBERT: Unified Mixed-Modal Speech Pretraining And Zero-Shot Transfer to Unlabeled Modalitycited by 36
  24. 2022VATLM: Visual-Audio-Text Pre-Training with Unified Masked Prediction for Speech Representation Learningcited by 34
  25. 2022SLUE Phase-2: A Benchmark Suite of Diverse Spoken Language Understanding Taskscited by 34
  26. 2023AfriSpeech-200: Pan-African Accented Speech Dataset for Clinical and General Domain ASRcited by 34
  27. 2024OWSM-CTC: An Open Encoder-Only Speech Foundation Model for Speech Recognition, Translation, and Language Identificationcited by 34
  28. 2024CrisperWhisper: Accurate Timestamps on Verbatim Speech Transcriptionscited by 33
  29. 2021Instant One-Shot Word-Learning for Context-Specific Neural Sequence-to-Sequence Speech Recognitioncited by 30
  30. 2023COSMIC: Data Efficient Instruction-tuning For Speech In-Context Learningcited by 30
  31. 2024Scaling Properties of Speech Language Modelscited by 30
  32. 2022Speech-to-Speech Translation For A Real-world Unwritten Languagecited by 25
  33. 2025Streaming Sequence-to-Sequence Learning with Delayed Streams Modelingcited by 24
  34. 2022Under the Morphosyntactic Lens: A Multifaceted Evaluation of Gender Bias in Speech Translationcited by 23
  35. 2024Speech Translation with Speech Foundation Models and Large Language Models: What is There and What is Missing?cited by 23
  36. 2024ASR Error Correction using Large Language Modelscited by 23
  37. 2021Conformal prediction for text infilling and part-of-speech predictioncited by 22
  38. 2025Open ASR Leaderboard: Towards Reproducible and Transparent Multilingual and Long-Form Speech Recognition Evaluationcited by 21

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