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Application of backend database contents and structure to the design of spoken dialog services

机译:后端数据库内容和结构在口语对话服务设计中的应用

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摘要

Current development platforms for designing spoken dialog services feature different kinds of strategies to help designers build, test, and deploy their applications. In general, these platforms are made up of several assistants that handle the different design stages (e.g. definition of the dialog flow, prompt and grammar definition, database connection, or to debug and test the running of the application). In spite of all the advances in this area, in general the process of designing spoken-based dialog services is a time consuming task that needs to be accelerated. In this paper we describe a complete development platform that reduces the design time by using different types of acceleration strategies based on using information from the data model structure and database contents, as well as cumulative information obtained throughout the successive steps in the design. Thanks to these accelerations, the interaction with the platform is simplified and the design is reduced, in most cases, to simple confirmations to the “proposals” that the platform automatically provides at each stage.ududDifferent kinds of proposals are available to complete the application flow such as the possibility of selecting which information slots should be requested to the user together, predefined templates for common dialogs, the most probable actions that make up each state defined in the flow, different solutions to solve specific speech-modality problems such as the presentation of the lists of retrieved results after querying the backend database. The platform also includes accelerations for creating speech grammars and prompts, and the SQL queries for accessing the database at runtime.ududFinally, we will describe the setup and results obtained in a simultaneous summative, subjective and objective evaluations with different designers used to test the usability of the proposed accelerations as well as their contribution to reducing the design time and interaction.
机译:当前用于设计口语对话服务的开发平台具有多种策略,可帮助设计人员构建,测试和部署其应用程序。通常,这些平台由处理不同设计阶段的多个助手组成(例如,对话流的定义,提示和语法的定义,数据库连接或调试和测试应用程序的运行)。尽管在该领域取得了所有进步,但是总体上,基于语音的对话服务的设计过程还是一项耗时的工作,需要加快。在本文中,我们描述了一个完整的开发平台,该平台基于使用数据模型结构和数据库内容中的信息以及在设计的各个后续步骤中获得的累积信息,通过使用不同类型的加速策略来减少设计时间。由于有了这些加速,在大多数情况下,可以简化对平台在每个阶段自动提供的“建议”的确认,从而简化了与平台的交互。 ud ud可以完成各种建议应用流程,例如可以一起选择应该向用户请求哪些信息时隙的可能性,用于通用对话框的预定义模板,构成流程中定义的每个状态的最可能的动作,解决特定语音模态问题的不同解决方案,例如作为查询后端数据库后检索结果列表的表示形式。该平台还包括用于创建语音语法和提示的加速,以及用于在运行时访问数据库的SQL查询。 ud ud最后,我们将描述在不同的设计者同时进行的汇总,主观和客观评估中获得的设置和结果测试建议的加速度的可用性以及它们对减少设计时间和交互作用的贡献。

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