mlsanityData to 14 Oct 2026

Loquacious Set: 25,000 Hours of Transcribed and Diverse English Speech Recognition Data for Research and Commercial Use

arXiv 2505.21578 ↗First posted 27 May 2025cs.CL cs.SD eess.AScited by 9

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Abstract (arXiv)

Automatic speech recognition (ASR) research is driven by the availability of common datasets between industrial researchers and academics, encouraging comparisons and evaluations. LibriSpeech, despite its long success as an ASR benchmark, is now limited by its size and focus on clean, read speech, leading to near-zero word error rates. More recent datasets, including MOSEL, YODAS, Gigaspeech, OWSM, Libriheavy or People's Speech suffer from major limitations including licenses that researchers in the industry cannot use, unreliable transcriptions, incorrect audio data, or the lack of evaluation sets. This work presents the Loquacious Set, a 25,000-hour curated collection of commercially usable English speech. Featuring hundreds of thousands of speakers with diverse accents and a wide range of speech types (read, spontaneous, talks, clean, noisy), the Loquacious Set is designed to work for academics and researchers in the industry to build ASR systems in real-world scenarios.

Key facts. Cited by 9 papers in the map (data through 14 Oct 2026). Builds on 14 of its 17 references that are in the map. First posted on arXiv 27 May 2025.

Builds on

14 of 17 references.

References · 14

  1. 2022Robust Speech Recognition via Large-Scale Weak Supervisioncited by 4,057
  2. 2019Common Voice: A Massively-Multilingual Speech Corpuscited by 1,384
  3. 2020MLS: A Large-Scale Multilingual Dataset for Speech Researchcited by 476
  4. 2021VoxPopuli: A Large-Scale Multilingual Speech Corpus for Representation Learning, Semi-Supervised Learning and Interpretationcited by 463
  5. 2021GigaSpeech: An Evolving, Multi-domain ASR Corpus with 10,000 Hours of Transcribed Audiocited by 399
  6. 2016Joint CTC-Attention based End-to-End Speech Recognition using Multi-task Learningcited by 257
  7. 2021The People's Speech: A Large-Scale Diverse English Speech Recognition Dataset for Commercial Usagecited by 101
  8. 2023Libriheavy: a 50,000 hours ASR corpus with punctuation casing and contextcited by 85
  9. 2021SpeechStew: Simply Mix All Available Speech Recognition Data to Train One Large Neural Networkcited by 83
  10. 2024YODAS: Youtube-Oriented Dataset for Audio and Speechcited by 60
  11. 2024Open-Source Conversational AI with SpeechBrain 1.0cited by 56
  12. 2023Reproducing Whisper-Style Training Using an Open-Source Toolkit and Publicly Available Datacited by 42
2 more
  1. 2024MOSEL: 950,000 Hours of Speech Data for Open-Source Speech Foundation Model Training on EU Languagescited by 14
  2. 2024Conformer-1: Robust ASR via Large-Scale Semisupervised Bootstrappingcited by 4

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 2; 2026: 7.

9 papers.

  1. 2026Chatterbox-Flash: Prior-Calibrated Block Diffusion for Streaming Zero-Shot TTScited by 3
  2. 2025Supplementary Resources and Analysis for Automatic Speech Recognition Systems Trained on the Loquacious Datasetcited by 2
  3. 2025The Speech-LLM Takes It All: A Truly Fully End-to-End Spoken Dialogue State Tracking Approachcited by 1
  4. 2026A Native-Reference Coordinate Geometry for L2 Pronunciation Deviation Using Self-Supervised Speech Modelscited by 1
  5. 2026Measuring the Redundancy of Decoder Layers in SpeechLLMscited by 0
  6. 2026Streaming Speech-to-Text Translation with a SpeechLLMcited by 0
  7. 2026Graph-Based Phonetic Error Correction of Noisy ASRcited by 0
  8. 2026AVERT: Audio-Verified Adjudication for Spoken Dialogue State Trackingcited by 0
  9. 2026A Native-Reference Phone-Class Geometry for Second-Language Pronunciation Analysiscited by 0