Demonstration of SpeakQL: Speech-driven Multimodal Querying of Structured Data

Demonstration of SpeakQL: Speech-driven Multimodal Querying of Structured Data
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SpeakQL 演示:语音驱动的结构化数据多模态查询

DOI:
10.1145/3299869.3320224
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发表时间:
2019
期刊:
Proceedings of the 2019 International Conference on Management of Data
影响因子:
--
通讯作者:
Saul, Lawrence
Saul, Lawrence
中科院分区:
--
文献类型:
--
作者:
Shah, Vraj;Li, Side;Yang, Kevin;Kumar, Arun;Saul, Lawrence

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在本演示中,我们介绍了SpeakQL,这是一个语音驱动的结构化数据查询系统和界面。SpeakQL支持常规SQL的一个易于处理且实用的子集,允许用户在基于语音/触摸的用户在环机制的帮助下,在具有无限词汇量的任何域中进行查询以进行更正。当在这样的领域进行查询时,自动语音识别在转录中引入了无数形式的错误,给我们带来了技术挑战。我们对这些错误进行描述,并利用我们的观察结果和SQL明确的上下文无关文法首先纠正查询结构。然后,我们利用查询数据库的语音表示来识别正确的文字,从而提供正确的转录查询。在这个演示中,我们展示了SpeakQL帮助用户显著减少指定SQL查询的时间和精力。此外,我们还展示了SpeakQL与自然语言接口和会话助手不同,它允许用户在任何数据库模式上进行查询。我们允许观众使用易于使用的基于Web的界面来编写SQL查询,从而探索SpeakQL。
In this demonstration, we present SpeakQL, a speech-driven query system and interface for structured data. SpeakQL supports a tractable and practically useful subset of regular SQL, allowing users to query in any domain with unbounded vocabulary with the help of speech/touch based user-in-the-loop mechanisms for correction. When querying in such domains, automatic speech recognition introduces countless forms of errors in transcriptions, presenting us with a technical challenge. We characterize such errors and leverage our observations along with SQL's unambiguous context-free grammar to first correct the query structure. We then exploit phonetic representation of the queried database to identify the correct Literals, hence delivering the corrected transcribed query. In this demo, we show that SpeakQL helps users reduce time and effort in specifying SQL queries significantly. In addition, we show that SpeakQL, unlike Natural Language Interfaces and conversational assistants, allows users to query over any arbitrary database schema. We allow the audience to explore SpeakQL using an easy-to-use web-based interface to compose SQL queries.
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DOI: 10.1145/3077257.3077264
发表时间: 2017
期刊: Proceedings of the 2nd Workshop on Human-In-the-Loop Data Analytics
影响因子: --
作者:
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发表时间: 2019
期刊: Proceedings of the 2019 International Conference on Management of Data
影响因子: --
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发表时间: 2016
期刊: Proceedings of the 2016 International Conference on Management of Data
影响因子: --
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DOI: 10.1145/1499949.1500034
发表时间: 1899
期刊: Structure
影响因子: 5.7
作者:
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