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Speech AI agenda calls for cross-community synthesis

By PulseAugur Editorial · [1 sources] ·

A new position paper proposes a unified agenda for Speech AI, highlighting the disconnect between technical NLP and sociotechnical HCI communities. The paper argues that current Speech AI systems have an incomplete understanding of communication and identity, and their metrics fail to capture the right constructs. It suggests solutions focused on designing for human variability, integrating both quantitative and qualitative research methods, and reforming venue structures to foster cross-community collaboration. AI

IMPACT Could lead to more inclusive and effective speech AI systems by bridging technical and social science approaches.

RANK_REASON The item is a position paper published on arXiv proposing a research agenda. [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 →

Speech AI agenda calls for cross-community synthesis

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The item is a position paper published on arXiv proposing a research agenda. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.CL TIER_1 English(EN) · Maria Teleki, Kimi Wenzel, Anna Seo Gyeong Choi, Tobias Weinberg, Shree Harsha Bokkahalli Satish, Stephanny Sanchez, Belu Ticona, Ariadna Sanchez, Yash Sonkar, Aarti Mathur, Christoph Minixhofer, Abraham Glasser, Raja Kushalnagar, James Caverlee, Minha L… ·

    A Cross Community Agenda for Speech AI

    arXiv:2609.13168v1 Announce Type: cross Abstract: Speech AI, any AI system that recognizes, transforms, or generates speech, is built and evaluated across two communities with only a small overlap: technical natural language processing (NLP) venues (e.g., ACL, ICASSP, Interspeech…

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