mlsanityData to 7 Oct 2026

The Edinburgh International Accents of English Corpus: Towards the Democratization of English ASR

arXiv 2303.18110 ↗First posted 31 Mar 2023cs.CL cs.LG cs.SDcited by 36

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Abstract (arXiv)

English is the most widely spoken language in the world, used daily by millions of people as a first or second language in many different contexts. As a result, there are many varieties of English. Although the great many advances in English automatic speech recognition (ASR) over the past decades, results are usually reported based on test datasets which fail to represent the diversity of English as spoken today around the globe. We present the first release of The Edinburgh International Accents of English Corpus (EdAcc). This dataset attempts to better represent the wide diversity of English, encompassing almost 40 hours of dyadic video call conversations between friends. Unlike other datasets, EdAcc includes a wide range of first and second-language varieties of English and a linguistic background profile of each speaker. Results on latest public, and commercial models show that EdAcc highlights shortcomings of current English ASR models. The best performing model, trained on 680 thousand hours of transcribed data, obtains an average of 19.7% word error rate (WER) -- in contrast to the 2.7% WER obtained when evaluated on US English clean read speech. Across all models, we observe a drop in performance on Indian, Jamaican, and Nigerian English speakers. Recordings, linguistic backgrounds, data statement, and evaluation scripts are released on our website (https://groups.inf.ed.ac.uk/edacc/) under CC-BY-SA license.

Key facts. Cited by 36 papers in the map (data through 7 Oct 2026). Builds on 12 of its 34 references that are in the map. First posted on arXiv 31 Mar 2023.

Builds on

12 of 34 references.

References · 12

  1. 2022Robust Speech Recognition via Large-Scale Weak Supervisioncited by 3,972
  2. 2020wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representationscited by 3,853
  3. 2019Common Voice: A Massively-Multilingual Speech Corpuscited by 1,358
  4. 2020Language (Technology) is Power: A Critical Survey of "Bias" in NLPcited by 951
  5. 2019Libri-Light: A Benchmark for ASR with Limited or No Supervisioncited by 462
  6. 2021SpeechBrain: A General-Purpose Speech Toolkitcited by 404
  7. 2021Robust wav2vec 2.0: Analyzing Domain Shift in Self-Supervised Pre-Trainingcited by 148
  8. 2021ECAPA-TDNN Embeddings for Speaker Diarizationcited by 47
  9. 2019rVAD: An Unsupervised Segment-Based Robust Voice Activity Detection Methodcited by 32
  10. 2021On the limit of English conversational speech recognitioncited by 30
  11. 2021The Accented English Speech Recognition Challenge 2020: Open Datasets, Tracks, Baselines, Results and Methodscited by 24
  12. 2021Analyzing the Robustness of Unsupervised Speech Recognitioncited by 11

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Citing papers per year: 2023: 2; 2024: 7; 2025: 15; 2026: 12.

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  1. 2025MMSU: A Massive Multi-task Spoken Language Understanding and Reasoning Benchmarkcited by 101
  2. 2024Natural language guidance of high-fidelity text-to-speech with synthetic annotationscited by 66
  3. 2024Towards Robust Speech Representation Learning for Thousands of Languagescited by 48
  4. 2023AfriSpeech-200: Pan-African Accented Speech Dataset for Clinical and General Domain ASRcited by 34
  5. 2025Charting the Landscape of African NLP: Mapping Progress and Shaping the Road Aheadcited by 15
  6. 2024The Responsible Foundation Model Development Cheatsheet: A Review of Tools & Resourcescited by 11
  7. 2025CapSpeech: Enabling Downstream Applications in Style-Captioned Text-to-Speechcited by 11
  8. 2024AccentBox: Towards High-Fidelity Zero-Shot Accent Generationcited by 9
  9. 2025Automatic Speech Recognition Biases in Newcastle English: an Error Analysiscited by 6
  10. 2023A Deep Dive into the Disparity of Word Error Rates Across Thousands of NPTEL MOOC Videoscited by 5
  11. 2024Improving Accented Speech Recognition using Data Augmentation based on Unsupervised Text-to-Speech Synthesiscited by 5
  12. 2025Voxlect: A Speech Foundation Model Benchmark for Modeling Dialects and Regional Languages Around the Globecited by 5
24 more
  1. 2025Unveiling Biases while Embracing Sustainability: Assessing the Dual Challenges of Automatic Speech Recognition Systemscited by 4
  2. 2025Pairwise Evaluation of Accent Similarity in Speech Synthesiscited by 4
  3. 2026PRiSM: Benchmarking Phone Realization in Speech Modelscited by 4
  4. 2026TurnBench: A Multi-Domain Benchmark for Turn-Taking Dynamics in Spoken Dialoguecited by 4
  5. 2024AccentFold: A Journey through African Accents for Zero-Shot ASR Adaptation to Target Accentscited by 3
  6. 2025Adapting Automatic Speech Recognition for Accented Air Traffic Control Communicationscited by 3
  7. 2025Inclusivity of AI Speech in Healthcare: A Decade Look Backcited by 2
  8. 2025Effects of Speaker Count, Duration, and Accent Diversity on Zero-Shot Accent Robustness in Low-Resource ASRcited by 2
  9. 2025Standard-to-Dialect Transfer Trends Differ across Text and Speech: A Case Study on Intent and Topic Classification in German Dialectscited by 2
  10. 2025Accent-Invariant Automatic Speech Recognition via Saliency-Driven Spectrogram Maskingcited by 2
  11. 2026The Voice Behind the Words: Quantifying Intersectional Bias in SpeechLLMscited by 2
  12. 2025LID Models are Actually Accent Classifiers: Implications and Solutions for LID on Accented Speechcited by 1
  13. 2025Learning to Align: Addressing Character Frequency Distribution Shifts in Handwritten Text Recognitioncited by 1
  14. 2026A Language-Agnostic Hierarchical LoRA-MoE Architecture for CTC-based Multilingual ASRcited by 1
  15. 2026OmniACBench: A Benchmark for Evaluating Context-Grounded Acoustic Control in Omni-Modal Modelscited by 1
  16. 2024GE2E-AC: Generalized End-to-End Loss Training for Accent Classificationcited by 0
  17. 2025Towards Fair ASR For Second Language Speakers Using Fairness Prompted Finetuningcited by 0
  18. 2026From Seeing it to Experiencing it: Interactive Evaluation of Intersectional Voice Bias in Human-AI Speech Interactioncited by 0
  19. 2026Evaluating Bias in Phoneme-Based Automatic Speech Recognition Systems: An Analysis of IPA Transcription Modelscited by 0
  20. 2026Linguistic Distance Segregates Latent Representations in Automatic Speech Recognition Systemscited by 0
  21. 2026Queer inclusion in speech datasets: An audit and taxonomy of practical tensionscited by 0
  22. 2026Towards participatory speech dataset curation: A queer case study and conceptual frameworkcited by 0
  23. 2026When Entanglement Lower-Bounds Disparity: Auditing and Repairing Demographic Fairness in Audio Understanding Modelscited by 0
  24. 2026Pruning for Efficiency, Paying in Fairness: Demographic Disparities in Pruned Speech-LLMscited by 0