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New framework aims to decolonize automated speech recognition systems

By PulseAugur Editorial · [1 sources] ·

This paper introduces a framework for developing more culturally competent automated speech recognition (ASR) systems. It argues that current ASR failures with low-resource and Indigenous languages are not just technical issues but reflect colonial linguistic policies. The authors propose a taxonomy of "Three Harms" (Misrecognition, Misalignment, Mistrust) and a seven-layer model for linguistic diversity. They advocate for a participatory design approach where affected communities are integral to the development and governance of ASR technologies. AI

IMPACT This research could lead to more equitable access to AI-powered voice interfaces for underrepresented linguistic communities.

RANK_REASON Academic paper proposing a new framework for ASR development. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CL →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New framework aims to decolonize automated speech recognition systems

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Academic paper proposing a new framework for ASR development. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.CL TIER_1 English(EN) · Jay L. Cunningham, Mark Atta Mensah, Richard Martinez, Joao Vieira da Silva Neto, Efi Dawodu ·

    Decolonizing Linguistic Policies in Automated Speech Recognition: A Framework for Cross-Culturally Competent Speech AI

    arXiv:2608.06141v1 Announce Type: new Abstract: This paper focuses on automatic speech recognition (ASR) and ASR-mediated voice interfaces that shape access to public services, healthcare, and education. We argue that persistent failures for low-resource, Indigenous, and non-stan…

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