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
- 2. Raymond Chi-Wing Wong
- 3. Xuefang Zhao
- 4. Di Jiang
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Outgoing Citations (Sorted by Pagerank)
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| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,937 | Making the Case for Query-by-Voice with EchoQuery | 2016 | SIGMOD | 0.00010029154 |
| 4,470 | Demonstration of SpeakQL: Speech-driven Multimodal Querying of Structured Data | 2019 | SIGMOD | 6.1525931e-05 |
| 6,912 | Demonstrating the Voice-Based Exploration of Large Data Sets with CiceroDB-Zero | 2020 | VLDB | 4.8878659e-05 |
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