mlsanityData to 7 Oct 2026

Inclusivity of AI Speech in Healthcare: A Decade Look Back

arXiv 2505.10596 ↗First posted 15 May 2025cs.CY cs.AIcited by 2

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Abstract (arXiv)

The integration of AI speech recognition technologies into healthcare has the potential to revolutionize clinical workflows and patient-provider communication. However, this study reveals significant gaps in inclusivity, with datasets and research disproportionately favouring high-resource languages, standardized accents, and narrow demographic groups. These biases risk perpetuating healthcare disparities, as AI systems may misinterpret speech from marginalized groups. This paper highlights the urgent need for inclusive dataset design, bias mitigation research, and policy frameworks to ensure equitable access to AI speech technologies in healthcare.

Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). Builds on 33 of its 51 references that are in the map. First posted on arXiv 15 May 2025.

Builds on

33 of 51 references.

References · 33

  1. 2018Speech Commands: A Dataset for Limited-Vocabulary Speech Recognitioncited by 741
  2. 2019LibriTTS: A Corpus Derived from LibriSpeech for Text-to-Speechcited by 639
  3. 2021VoxPopuli: A Large-Scale Multilingual Speech Corpus for Representation Learning, Semi-Supervised Learning and Interpretationcited by 455
  4. 2021GigaSpeech: An Evolving, Multi-domain ASR Corpus with 10,000 Hours of Transcribed Audiocited by 391
  5. 2017AISHELL-1: An Open-Source Mandarin Speech Corpus and A Speech Recognition Baselinecited by 364
  6. 2018AISHELL-2: Transforming Mandarin ASR Research Into Industrial Scalecited by 125
  7. 2019Europarl-ST: A Multilingual Corpus For Speech Translation Of Parliamentary Debatescited by 114
  8. 2020AISHELL-3: A Multi-speaker Mandarin TTS Corpus and the Baselinescited by 111
  9. 2022CVSS Corpus and Massively Multilingual Speech-to-Speech Translationcited by 71
  10. 2021AISHELL-4: An Open Source Dataset for Speech Enhancement, Separation, Recognition and Speaker Diarization in Conference Scenariocited by 58
  11. 2020CoVoST: A Diverse Multilingual Speech-To-Text Translation Corpuscited by 57
  12. 2015THCHS-30 : A Free Chinese Speech Corpuscited by 43
21 more
  1. 2022NusaCrowd: Open Source Initiative for Indonesian NLP Resourcescited by 38
  2. 2022Open Source MagicData-RAMC: A Rich Annotated Mandarin Conversational(RAMC) Speech Datasetcited by 36
  3. 2023The Edinburgh International Accents of English Corpus: Towards the Democratization of English ASRcited by 36
  4. 2021EasyCom: An Augmented Reality Dataset to Support Algorithms for Easy Communication in Noisy Environmentscited by 29
  5. 2018Voices Obscured in Complex Environmental Settings (VOICES) corpuscited by 28
  6. 2019MaSS: A Large and Clean Multilingual Corpus of Sentence-aligned Spoken Utterances Extracted from the Biblecited by 24
  7. 2021EMOVIE: A Mandarin Emotion Speech Dataset with a Simple Emotional Text-to-Speech Modelcited by 18
  8. 2021MediaSpeech: Multilanguage ASR Benchmark and Datasetcited by 17
  9. 2020ClovaCall: Korean Goal-Oriented Dialog Speech Corpus for Automatic Speech Recognition of Contact Centerscited by 13
  10. 2021KazakhTTS: An Open-Source Kazakh Text-to-Speech Synthesis Datasetcited by 13
  11. 2022ADIMA: Abuse Detection In Multilingual Audiocited by 11
  12. 2021RyanSpeech: A Corpus for Conversational Text-to-Speech Synthesiscited by 10
  13. 2021CrowdSpeech and VoxDIY: Benchmark Datasets for Crowdsourced Audio Transcriptioncited by 9
  14. 2024VietMed: A Dataset and Benchmark for Automatic Speech Recognition of Vietnamese in the Medical Domaincited by 9
  15. 2020The SLT 2021 children speech recognition challenge: Open datasets, rules and baselinescited by 8
  16. 2019LibriVoxDeEn: A Corpus for German-to-English Speech Translation and German Speech Recognitioncited by 7
  17. 2021OLR 2021 Challenge: Datasets, Rules and Baselinescited by 5
  18. 2019Kurdish (Sorani) Speech to Text: Presenting an Experimental Datasetcited by 2
  19. 2021Human-Machine Interaction Speech Corpus from the ROBIN projectcited by 2
  20. 2024High-precision medical speech recognition through synthetic data and semantic correction: UNITED-MEDASRcited by 2
  21. 2024A Review of Challenges in Speech-based Conversational AI for Elderly Carecited by 2

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2026: 2.

2 papers.

  1. 2026Unheard in the Digital Age: Rethinking AI Bias and Speech Diversitycited by 0
  2. 2026Task-Lens: Cross-Task Utility Based Speech Dataset Profiling for Low-Resource Indian Languagescited by 0