Racial disparities in automated speech recognition

Cited by (769)

Items 101–200 of 769

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9. Joint speech and text machine translation for up to 100 languages
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10. Neural representations for modeling variation in speech
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17. Children and adults produce distinct technology- and human-directed speech
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18. How Might We Create Better Benchmarks for Speech Recognition?
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19. Ethics in Linguistics
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20. Can Voice Assistants Be Microaggressors? Cross-Race Psychological Responses to Failures of Automatic Speech Recognition
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27. Counterfactually Fair Automatic Speech Recognition
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28. Evaluation of African American Language Bias in Natural Language Generation
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34. What’s This? A Voice and Touch Multimodal Approach for Ambiguity Resolution in Voice Assistants
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35. Fully automated detection of formal thought disorder with Time-series Augmented Representations for Detection of Incoherent Speech (TARDIS)
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36. Adaptive Sampling Strategies to Construct Equitable Training Datasets
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40. “Hey Siri, Help Me Take Care of My Child”: A Feasibility Study With Caregivers of Children With Special Healthcare Needs Using Voice Interaction and Automatic Speech Recognition in Remote Care Management
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41. Fairkit-learn
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47. Transforming Speech-Language Pathology with AI: Opportunities, Challenges, and Ethical Guidelines
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48. The Externalities of Exploration and How Data Diversity Helps Exploitation
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49. Gender Bias in Online Language Translators: Visualization, Human Perception, and Bias/Accuracy Tradeoffs
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50. VALUE: Understanding Dialect Disparity in NLU
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51. The Edinburgh International Accents of English Corpus: Towards the Democratization of English ASR
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52. An Engineering View on Emotions and Speech: From Analysis and Predictive Models to Responsible Human-Centered Applications
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53. Law and the Emerging Political Economy of Algorithmic Audits
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55. Investigating Bias and Fairness in Facial Expression Recognition
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65. Toward Fairness in Speech Recognition: Discovery and mitigation of performance disparities
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68. Improving Fairness in Speaker Verification via Group-Adapted Fusion Network
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73. First- and Second-Level Bias in Automated Decision-making
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74. Does Automatic Speech Recognition (ASR) Have a Role in the Transcription of Indistinct Covert Recordings for Forensic Purposes?
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95. Quantifying the Dialect Gap and its Correlates Across Languages
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