--- title: "Who cites Loquacious Set: 25,000 Hours of — 5 citing papers" description: "5 papers of the Elamur Research library cite «Loquacious Set: 25,000 Hours of Transcribed and Diverse English Speech Recognition Data for…" canonical: "https://research.elamur.ai/free/en/papers/parcollet-2025-loquacious-set-25-000-hours/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/parcollet-2025-loquacious-set-25-000-hours/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Loquacious Set: 25,000 Hours of Transcribed and…](https://md.research.elamur.ai/free/en/papers/parcollet-2025-loquacious-set-25-000-hours/) / cited by # Who cites «Loquacious Set: 25,000 Hours of Transcribed and Diverse English Speech Recognition Data for Research and Commercial Use» 5 papers of our library cite it (of the 149,439 whose bibliographies we read) · 2 with a page here, the most cited first · [← back to «Loquacious Set: 25,000 Hours of Transcribed and Diverse English Speech Recognition Data for Research and Commercial Use»](https://md.research.elamur.ai/free/en/papers/parcollet-2025-loquacious-set-25-000-hours/) 1. **[Graph-Based Phonetic Error Correction of Noisy ASR](https://md.research.elamur.ai/free/en/papers/singh-2026-graph-based-phonetic-error-correction/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Pratik Rakesh Singh, Mohammadi Zaki, Aneesh Mukkamla, et al.*2026* 2. **[Supplementary Resources and Analysis for Automatic Speech Recognition Systems Trained on the Loquacious Dataset](https://md.research.elamur.ai/free/en/papers/rossenbach-2026-supplementary-resources-analysis-automatic-speech/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Nick Rossenbach, Robin Schmitt, Tina Raissi, et al.*2026* 3 more papers of our library cite it; they have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/papers/parcollet-2025-loquacious-set-25-000-hours/) — Loquacious Set: 25,000 Hours of Transcribed and Diverse English Speech Recognition Data for Research and Commercial Use