---
title: "Who cites Artie Bias Corpus: An Open — 25 citing papers"
description: "25 papers of the Elamur Research library cite «Artie Bias Corpus: An Open Dataset for Detecting Demographic Bias in Speech Applications»…"
canonical: "https://research.elamur.ai/free/en/papers/meyer-2020-artie-bias-corpus-open-dataset/cited-by/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/meyer-2020-artie-bias-corpus-open-dataset/cited-by/)

[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Artie Bias Corpus: An Open Dataset for Detecting…](https://md.research.elamur.ai/free/en/papers/meyer-2020-artie-bias-corpus-open-dataset/) / cited by

# Who cites «Artie Bias Corpus: An Open Dataset for Detecting Demographic Bias in Speech Applications»

25 papers of our library cite it (of the 141,840 whose bibliographies we read) · 2 with a page here, the most cited first · [← back to «Artie Bias Corpus: An Open Dataset for Detecting Demographic Bias in Speech Applications»](https://md.research.elamur.ai/free/en/papers/meyer-2020-artie-bias-corpus-open-dataset/)

1. [**Robust Speech Recognition via Large-Scale Weak Supervision arXiv:2212.04356**Alec Radford, Jong Wook Kim, Tao Xu, et al.*2022 · 2,501 citations*](https://md.research.elamur.ai/free/en/papers/radford-2022-robust-speech-recognition-large-scale/)
2. **[A Sociophonetic Analysis of Racial Bias in Commercial ASR Systems Using the Pacific Northwest English Corpus](https://md.research.elamur.ai/free/en/papers/scott-2026-sociophonetic-analysis-racial-bias-commercial/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Michael Scott, Siyu Liang, Alicia Wassink, et al.*2026*

23 more papers of our library cite it; they have no page here yet.

- [← back to](https://md.research.elamur.ai/free/en/papers/meyer-2020-artie-bias-corpus-open-dataset/) — Artie Bias Corpus: An Open Dataset for Detecting Demographic Bias in Speech Applications