SpeakQL: Towards Speech-driven Multi-modal Querying
SpeakQL: Towards Speech-driven Multi-modal Querying
复制标题
SpeakQL：迈向语音驱动的多模式查询
DOI：
10.1145/3077257.3077264
复制
发表时间：
2017
期刊：
影响因子：
--
通讯作者：
L. Saul
中科院分区：
文献类型：
--
作者：
Dharmil Chandarana;Vraj Shah;Arun Kumar;L. Saul
自然语言和基于触摸的界面使数据查询变得更加容易。但是类型化SQL仍然是查询复杂性的黄金标准，尽管它在许多查询环境中是痛苦的。自动语音识别的最新进展通过启用口语SQL查询来弥合这一差距，这一可能性非常诱人。在这项工作中，我们概述了这样一个新的查询接口和系统，主要是语音驱动的常规SQL我们的愿景。我们提出了一个端到端的架构，使口语SQL查询有效和高效，并提出初步的实证结果，以了解这种方法的可行性。我们确定了几个开放的研究问题，并提出了我们计划探索的替代解决方案。
Natural language and touch-based interfaces are making data querying significantly easier. But typed SQL remains the gold standard for query sophistication although it is painful in many querying environments. Recent advancements in automatic speech recognition raise the tantalizing possibility of bridging this gap by enabling spoken SQL queries. In this work, we outline our vision of one such new query interface and system for regular SQL that is primarily speech-driven. We propose an end-to-end architecture for making spoken SQL querying effective and efficient and present initial empirical results to understand the feasibility of such an approach. We identify several open research questions and propose alternative solutions that we plan to explore.