mlsanityData to 7 Oct 2026

GigaSpeech: An Evolving, Multi-domain ASR Corpus with 10,000 Hours of Transcribed Audio

arXiv 2106.06909 ↗First posted 13 Jun 2021cs.SD cs.CL eess.AScited by 391

Not on the map. Why?

Abstract (arXiv)

This paper introduces GigaSpeech, an evolving, multi-domain English speech recognition corpus with 10,000 hours of high quality labeled audio suitable for supervised training, and 40,000 hours of total audio suitable for semi-supervised and unsupervised training. Around 40,000 hours of transcribed audio is first collected from audiobooks, podcasts and YouTube, covering both read and spontaneous speaking styles, and a variety of topics, such as arts, science, sports, etc. A new forced alignment and segmentation pipeline is proposed to create sentence segments suitable for speech recognition training, and to filter out segments with low-quality transcription. For system training, GigaSpeech provides five subsets of different sizes, 10h, 250h, 1000h, 2500h, and 10000h. For our 10,000-hour XL training subset, we cap the word error rate at 4% during the filtering/validation stage, and for all our other smaller training subsets, we cap it at 0%. The DEV and TEST evaluation sets, on the other hand, are re-processed by professional human transcribers to ensure high transcription quality. Baseline systems are provided for popular speech recognition toolkits, namely Athena, ESPnet, Kaldi and Pika.

Key facts. Cited by 391 papers in the map (data through 7 Oct 2026). Builds on 10 of its 19 references that are in the map. First posted on arXiv 13 Jun 2021.

Builds on

10 of 19 references.

References · 10

  1. 2017Attention Is All You Needcited by 59,932
  2. 2018SentencePiece: A simple and language independent subword tokenizer and detokenizer for Neural Text Processingcited by 1,973
  3. 2020Conformer: Convolution-augmented Transformer for Speech Recognitioncited by 1,838
  4. 2018ESPnet: End-to-End Speech Processing Toolkitcited by 554
  5. 2018TED-LIUM 3: twice as much data and corpus repartition for experiments on speaker adaptationcited by 224
  6. 2019A Comparative Study on Transformer vs RNN in Speech Applicationscited by 210
  7. 2020Recent Developments on ESPnet Toolkit Boosted by Conformercited by 132
  8. 2021SPGISpeech: 5,000 hours of transcribed financial audio for fully formatted end-to-end speech recognitioncited by 77
  9. 2017English Conversational Telephone Speech Recognition by Humans and Machinescited by 40
  10. 2019Minimum Bayes Risk Training of RNN-Transducer for End-to-End Speech Recognitioncited by 23

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 11; 2022: 24; 2023: 55; 2024: 106; 2025: 105; 2026: 90.

391 papers.

Sort:

By area:

  1. 2022Robust Speech Recognition via Large-Scale Weak Supervisioncited by 3,972
  2. 2021WavLM: Large-Scale Self-Supervised Pre-Training for Full Stack Speech Processingcited by 1,609
  3. 2021Ego4D: Around the World in 3,000 Hours of Egocentric Videocited by 1,530
  4. 2023SpeechGPT: Empowering Large Language Models with Intrinsic Cross-Modal Conversational Abilitiescited by 518
  5. 2023SALMONN: Towards Generic Hearing Abilities for Large Language Modelscited by 492
  6. 2023AudioLDM 2: Learning Holistic Audio Generation with Self-supervised Pretrainingcited by 343
  7. 2022Self-Supervised Speech Representation Learning: A Reviewcited by 258
  8. 2024AnyGPT: Unified Multimodal LLM with Discrete Sequence Modelingcited by 213
  9. 2025Kimi-Audio Technical Reportcited by 210
  10. 2024Emilia: An Extensive, Multilingual, and Diverse Speech Dataset for Large-Scale Speech Generationcited by 200
  11. 2025VITA-1.5: Towards GPT-4o Level Real-Time Vision and Speech Interactioncited by 191
  12. 2021WenetSpeech: A 10000+ Hours Multi-domain Mandarin Corpus for Speech Recognitioncited by 189
38 more
  1. 2024VITA: Towards Open-Source Interactive Omni Multimodal LLMcited by 172
  2. 2023Speak Foreign Languages with Your Own Voice: Cross-Lingual Neural Codec Language Modelingcited by 166
  3. 2024AudioBench: A Universal Benchmark for Audio Large Language Modelscited by 124
  4. 2024VoiceCraft: Zero-Shot Speech Editing and Text-to-Speech in the Wildcited by 118
  5. 2025Spark-TTS: An Efficient LLM-Based Text-to-Speech Model with Single-Stream Decoupled Speech Tokenscited by 109
  6. 2025MMSU: A Massive Multi-task Spoken Language Understanding and Reasoning Benchmarkcited by 101
  7. 2025Step-Audio 2 Technical Reportcited by 101
  8. 2021The People's Speech: A Large-Scale Diverse English Speech Recognition Dataset for Commercial Usagecited by 98
  9. 2024WavChat: A Survey of Spoken Dialogue Modelscited by 88
  10. 2023Distil-Whisper: Robust Knowledge Distillation via Large-Scale Pseudo Labellingcited by 87
  11. 2024An Embarrassingly Simple Approach for LLM with Strong ASR Capacitycited by 86
  12. 2024Recent Advances in Speech Language Models: A Surveycited by 85
  13. 2023Connecting Speech Encoder and Large Language Model for ASRcited by 79
  14. 2025Ola: Pushing the Frontiers of Omni-Modal Language Modelcited by 79
  15. 2023LauraGPT: Listen, Attend, Understand, and Regenerate Audio with GPTcited by 77
  16. 2023BLSP: Bootstrapping Language-Speech Pre-training via Behavior Alignment of Continuation Writingcited by 75
  17. 2024OWSM v3.1: Better and Faster Open Whisper-Style Speech Models based on E-Branchformercited by 74
  18. 2023Generative Speech Recognition Error Correction with Large Language Models and Task-Activating Promptingcited by 71
  19. 2025Llasa: Scaling Train-Time and Inference-Time Compute for Llama-based Speech Synthesiscited by 69
  20. 2024mHuBERT-147: A Compact Multilingual HuBERT Modelcited by 64
  21. 2026MiniCPM-o 4.5: Towards Real-Time Full-Duplex Omni-Modal Interactioncited by 64
  22. 2023What Do Self-Supervised Speech Models Know About Words?cited by 62
  23. 2025Ming-Omni: A Unified Multimodal Model for Perception and Generationcited by 62
  24. 2025HumanOmni: A Large Vision-Speech Language Model for Human-Centric Video Understandingcited by 58
  25. 2023Whispering LLaMA: A Cross-Modal Generative Error Correction Framework for Speech Recognitioncited by 56
  26. 2023Mega-TTS: Zero-Shot Text-to-Speech at Scale with Intrinsic Inductive Biascited by 51
  27. 2024Towards Robust Speech Representation Learning for Thousands of Languagescited by 48
  28. 2024InternLM-XComposer2.5-OmniLive: A Comprehensive Multimodal System for Long-term Streaming Video and Audio Interactionscited by 48
  29. 2022WeNet 2.0: More Productive End-to-End Speech Recognition Toolkitcited by 46
  30. 2024Consent in Crisis: The Rapid Decline of the AI Data Commonscited by 45
  31. 2023FunCodec: A Fundamental, Reproducible and Integrable Open-source Toolkit for Neural Speech Codeccited by 44
  32. 2024EMOVA: Empowering Language Models to See, Hear and Speak with Vivid Emotionscited by 44
  33. 2021UniSpeech-SAT: Universal Speech Representation Learning with Speaker Aware Pre-Trainingcited by 43
  34. 2023Reproducing Whisper-Style Training Using an Open-Source Toolkit and Publicly Available Datacited by 42
  35. 2023Exploring Speech Recognition, Translation, and Understanding with Discrete Speech Units: A Comparative Studycited by 42
  36. 2024SemantiCodec: An Ultra Low Bitrate Semantic Audio Codec for General Soundcited by 42
  37. 2023HyPoradise: An Open Baseline for Generative Speech Recognition with Large Language Modelscited by 41
  38. 2025Voxtralcited by 41

50 most cited of 391 All 391 (JSON)