发表机构
Texas A&M University; Carnegie Mellon University; Cornell University; Cornell Tech; KTH Royal Institute of Technology; University of Alberta; George Mason University; University of Edinburgh; IIIT Hyderabad; Chegg Inc.; Deepgram; Gallaudet University; Eindhoven University of Technology; AssistiveWare; Kennesaw State University; OCAD University; King’s College London（德克萨斯农工大学; 卡内基梅隆大学; 康奈尔大学; 康奈尔理工学院; KTH皇家理工学院; 阿尔伯塔大学; 乔治梅森大学; 爱丁堡大学; 海得拉巴国际信息技术学院; Chegg公司; Deepgram公司; 加劳德特大学; 埃因霍温理工大学; AssistiveWare公司; 肯尼索州立大学; 安大略艺术设计大学; 伦敦国王学院）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本文提出跨社区议程，批判语音AI在沟通、身份模型及指标上的缺陷，并倡导结合定量定性方法设计以服务多元用户。
AI 中文摘要
语音AI，即任何能够识别、转换或生成语音的AI系统，其构建和评估跨越两个社区，但两者之间仅有少量重叠：技术性自然语言处理（NLP）场所（如ACL、ICASSP、Interspeech）和社会技术性人机交互（HCI）场所（如ASSETS、CHI、FAccT）。在这篇立场论文中，我们致力于实现跨社区的综合，围绕三个问题组织我们的批判：语音AI基于不完整的沟通模型运作；它基于不完整的身份模型运作；其指标衡量了错误的概念。我们利用辅助与替代沟通（AAC）作为这些失败最为明显且其影响最为重大的场景，同时关注其他服务不足的说话者——口吃者、多语种说话者以及非二元和跨性别用户。针对每个问题，我们提出面向人类变异性设计的解决方案草图，几乎所有方案都需要定量和定性方法的结合。最后，我们讨论了将这些方法分隔开的场所结构，以及项目委员会和个别作者可以采取哪些措施来促进它们的融合。
英文摘要
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), and sociotechnical HCI venues (e.g., ASSETS, CHI, FAccT). In this position paper, we work toward a cross-community synthesis, organizing our critique around three problems: speech AI operates with an incomplete model of communication; it operates with an incomplete model of identity; and its metrics measure the wrong constructs. We draw on AAC as a setting where these failures are most visible and their stakes highest, alongside other underserved speakers - people who stutter, multilingual speakers, and non-binary and transgender users. For each problem we offer solution sketches oriented toward designing for human variability, nearly all of which require quantitative and qualitative methods in combination. We close on the venue structures that hold these methods apart, and on what program committees and individual authors can do to bring them together.
