---
title: "Who cites Modeling Gender and Dialect Bias — 11 citing papers"
description: "11 papers of the Elamur Research library cite «Modeling Gender and Dialect Bias in Automatic Speech Recognition», found in their…"
canonical: "https://research.elamur.ai/free/en/papers/harris-2024-modeling-gender-dialect-bias-automatic/cited-by/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Modeling Gender and Dialect Bias in Automatic…](https://md.research.elamur.ai/free/en/papers/harris-2024-modeling-gender-dialect-bias-automatic/) / cited by

# Who cites «Modeling Gender and Dialect Bias in Automatic Speech Recognition»

11 papers of our library cite it (of the 149,439 whose bibliographies we read) · 6 with a page here, the most cited first · [← back to «Modeling Gender and Dialect Bias in Automatic Speech Recognition»](https://md.research.elamur.ai/free/en/papers/harris-2024-modeling-gender-dialect-bias-automatic/)

1. **[A Multi-Dialectal Dataset for German Dialect ASR and Dialect-to-Standard Speech Translation](https://md.research.elamur.ai/free/en/papers/blaschke-2025-multi-dialectal-dataset-german-dialect/) [Interspeech](https://md.research.elamur.ai/free/en/venues/interspeech-usb/)**Verena Blaschke, Miriam Winkler, Constantin Forster, et al.*2025 · 12 citations*
2. **[Automatic Speech Recognition of African American English: Lexical and Contextual Effects](https://md.research.elamur.ai/free/en/papers/mojarad-2025-automatic-speech-recognition-african-american/) [Interspeech](https://md.research.elamur.ai/free/en/venues/interspeech-usb/)**Hamid Mojarad, Kevin Tang*2025 · 4 citations*
3. **[Bias in the Ear of the Listener: Assessing Sensitivity in Audio Language Models Across Linguistic, Demographic, and Positional Variations](https://md.research.elamur.ai/free/en/papers/wei-2026-bias-ear-listener-assessing-sensitivity/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Sheng-Lun Wei, Yu-Ling Liao, Yen-Hua Chang, et al.*2026 · 1 citation*
4. **[Fine-tuning Whisper with Spontaneous Persian Speech (SPS)](https://md.research.elamur.ai/free/en/papers/namdarzadeh-2026-fine-tuning-whisper-spontaneous-persian/) [SIGUL Joint Workshop with ELE, EURALI, and DCLRL: Towards Inclusivity and Equality: Language Resources and Technologies for Under-Resourced and Endangered Languages](https://md.research.elamur.ai/free/en/venues/sigul/)**Behnoosh Namdarzadeh, Nicolas Ballier*2026*
5. **[IIITK_SpeechScape@DravidianLangTech 2026: Dialect based speech recognition and classification using Speech Foundation Models and Deep Learning Techniques](https://md.research.elamur.ai/free/en/papers/sekar-2026-iiitk-speechscape-dravidianlangtech-2026-dialect/) [Workshop on Speech, Vision, and Language Technologies for Dravidian Languages](https://md.research.elamur.ai/free/en/venues/dravidianlangtech/)**G Srishtik Sekar, Harissh Ragav Dhamodaran, Kishore Shankar S, et al.*2026*
6. **[“OK Aura, Be Fair with Me”: Demographics-Agnostic Training for Bias Mitigation in Wake-up Word Detection](https://md.research.elamur.ai/free/en/papers/lopez-2026-ok-aura-be-fair-me/) [Speech Language Models in Low-Resource Settings: Performance, Evaluation, and Bias Analysis (SPEAKABLE) @ LREC](https://md.research.elamur.ai/free/en/venues/speakable/)**Fernando López, Paula Delgado-Santos, Pablo Gómez, et al.*2026*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/harris-2024-modeling-gender-dialect-bias-automatic/) — Modeling Gender and Dialect Bias in Automatic Speech Recognition