使用交互式语音响应和WhatsApp商业API进行虚拟研讨会的混合多模态系统

Vishnu Prasad, Richard Shallam, Alok Sharma, Delvin Varghese, Devansh Mehta
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引用次数: 1

摘要

摘要:交互式语音应答(IVR)论坛,如CGNet Swara和Avaaj Otalo,为边缘化社区提供了一个通过简单的电话发出自己声音的途径,在赋权方面发挥了关键作用。与此同时,不断增长的互联网普及率和可负担的数据计划正在改变印度农村社区获取和消费信息的方式。在从语音到更丰富的内容环境转变的背景下,我们提出了围绕IVR和WhatsApp Business API构建的多模态感知生成和数据收集平台的设计。该模型用于向马哈拉施特拉邦农村的棉农提供虚拟培训模块。在27天的部署中,176人参与了干预,其中122人和54人分别尝试了IVR和WhatsApp上的模块。在本文中,我们重点介绍了干预期间的一些有趣的发现和经验教训。
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A Hybrid Multi-Modal System for Conducting Virtual Workshops Using Interactive Voice Response and the WhatsApp Business API
Abstract: Interactive voice response (IVR) forums such as CGNet Swara and Avaaj Otalo have played a pivotal role in empowering marginalised communities by providing an avenue to make their voice heard through simple phone calls. At the same time, growing internet penetration and affordable data plans are altering the ways in which rural Indian communities access and consume information. Within the context of a shift from voice to richer content environments, we present the design of a multi-modal awareness generation and data collection platform built around IVR and the WhatsApp Business API. This model was deployed for delivering virtual training modules to cotton farmers in rural Maharashtra. During the 27 day deployment, 176 people participated in the intervention, out of which 122 and 54 attempted the modules on IVR and WhatsApp, respectively. In this paper, we highlight some of the interesting findings and lessons learnt during the intervention.
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