---
title: "Who cites Dialect-Specific Models for — 10 citing papers"
description: "10 papers of the Elamur Research library cite «Dialect-Specific Models for Automatic Speech Recognition of African American Vernacular…"
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---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Dialect-Specific Models for Automatic Speech…](https://md.research.elamur.ai/free/en/papers/dorn-2019-dialect-specific-models-automatic-speech/) / cited by

# Who cites «Dialect-Specific Models for Automatic Speech Recognition of African American Vernacular English»

10 papers of our library cite it (of the 149,439 whose bibliographies we read) · 7 with a page here, the most cited first · [← back to «Dialect-Specific Models for Automatic Speech Recognition of African American Vernacular English»](https://md.research.elamur.ai/free/en/papers/dorn-2019-dialect-specific-models-automatic-speech/)

1. **[The Importance of Modeling Social Factors of Language: Theory and Practice](https://md.research.elamur.ai/free/en/papers/hovy-2021-importance-modeling-social-factors-language/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Dirk Hovy, Diyi Yang*2021 · 238 citations*
2. **[Investigating African-American Vernacular English in Transformer-Based Text Generation](https://md.research.elamur.ai/free/en/papers/groenwold-2020-investigating-african-american-vernacular-english/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Sophie Groenwold, Lily Ou, Aesha Parekh, et al.*2020 · 99 citations*
3. [**VALUE: Understanding Dialect Disparity in NLU**Caleb Ziems, Jiaao Chen, Camille Harris, et al.*2022 · 67 citations*](https://md.research.elamur.ai/free/en/papers/ziems-2022-value-understanding-dialect-disparity-nlu/)
4. **[Self-supervised Speech Representations Still Struggle with African American Vernacular English](https://md.research.elamur.ai/free/en/papers/chang-2024-self-supervised-speech-representations-still/) [Interspeech](https://md.research.elamur.ai/free/en/venues/interspeech-usb/)**Kalvin Chang, Yi-Hui Chou, Jiatong Shi, et al.*2024 · 10 citations*
5. **[Disambiguation of morpho-syntactic features of African American English – the case of habitual be](https://md.research.elamur.ai/free/en/papers/santiago-2022-disambiguation-morpho-syntactic-features-african/) [Workshop on Language Technology for Equality, Diversity, Inclusion](https://md.research.elamur.ai/free/en/venues/ltedi/)**Harrison Santiago, Joshua Martin, Sarah Moeller, et al.*2022 · 5 citations*
6. [**Whisper Turns Stronger: Augmenting Wav2Vec 2.0 for Superior ASR in Low-Resource Languages arXiv:2501.00425**Or Haim Anidjar, Revital Marbel, Roi Yozevitch*2024 · 4 citations*](https://md.research.elamur.ai/free/en/papers/anidjar-2024-whisper-turns-stronger-augmenting-wav2vec/)
7. **[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*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/dorn-2019-dialect-specific-models-automatic-speech/) — Dialect-Specific Models for Automatic Speech Recognition of African American Vernacular English