VoiceQuerySystem: A Voice-driven Database Querying System Using Natural Language Questions
Yuanfeng Song, Raymond Chi-Wing Wong, Xuefang Zhao, Di Jiang · Proceedings of the 2022 International Conference on Management of Data · 2022
With recent development in natural language processing (NLP) and automatic speech recognition (ASR), voice-based interfaces have become a necessity for applications such as chatbots, search engines, and databases. In this demonstration, we introduce VoiceQuerySystem, a voice-based database querying system that enables users to conduct data operations with natural language questions (NLQs). Different from existing voice-based interfaces such as SpeakQL or EchoQuery, which restricts the voice input to be an exact SQL or follow a pre-defined template, VoiceQuerySystem attempts to achieve data manipulation via common NLQs, and thus does not require the user's technical background in SQL language.