VoiceQuerySystem: A Voice-driven Database Querying System Using Natural Language Questions
Summary: VoiceQuerySystem enables voice-based DB querying from natural language questions, removing SQL expertise. It compares cascaded ASR-to-text-to-SQL (IRNet) with end-to-end SpeechSQLNet that maps speech directly to SQL, showing first voice querying from common NLQs. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Yuanfeng Song (Hong Kong University of Science and Technology; WeBank Co., Ltd)
- 2. Raymond Chi-Wing Wong (Hong Kong University of Science and Technology)
- 3. Xuefang Zhao (WeBank Co., Ltd)
- 4. Di Jiang (WeBank Co., Ltd)
BibTeX Citation
@inproceedings{song_sigmod22,
title = {{VoiceQuerySystem: A Voice-driven Database Querying System Using Natural Language Questions}},
author = {Song, Yuanfeng and Wong, Raymond Chi-Wing and Zhao, Xuefang and Jiang, Di},
series = {{SIGMOD} '22},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3514221.3520158},
url = {https://dl.acm.org/doi/10.1145/3514221.3520158},
year = {2022}
}Incoming Citations (Sorted by Pagerank)
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Showing 3 of 3 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,828 | Making the Case for Query-by-Voice with EchoQuery | 2016 | SIGMOD | 9.6689075e-05 |
| 4,593 | Demonstration of SpeakQL: Speech-driven Multimodal Querying of Structured Data | 2019 | SIGMOD | 6.6138904e-05 |
| 7,511 | Demonstrating the Voice-Based Exploration of Large Data Sets with CiceroDB-Zero | 2020 | VLDB | 5.6029996e-05 |
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