SpeakQL: Towards Speech-driven Multimodal Querying of Structured Data
Summary: SpeakQL enables speech-driven querying of structured data via a modular design and a practical SQL subset, with touch/speech corrections. It introduces spoken-SQL dataset and a schema-agnostic generator; 2.7x speedup over tablet typing and 10x–60x lower effort. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Vraj Shah (University of California San Diego)
- 2. Side Li (University of California San Diego)
- 3. Arun Kumar (University of California San Diego)
- 4. Lawrence Saul (University of California San Diego)
BibTeX Citation
@inproceedings{shah_sigmod20,
title = {{SpeakQL: Towards Speech-driven Multimodal Querying of Structured Data}},
author = {Shah, Vraj and Li, Side and Kumar, Arun and Saul, Lawrence},
series = {{SIGMOD} '20},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3318464.3389777},
url = {https://dl.acm.org/doi/10.1145/3318464.3389777},
year = {2020}
}
Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 7,657 | Demonstrating the Voice-Based Exploration of Large Data Sets with CiceroDB-Zero | 2020 | VLDB | 5.4772833e-05 |
| 11,965 | Demonstrating Robust Voice Querying with MUVE: Optimally Visualizing Results of Phonetically Similar Queries | 2021 | SIGMOD | 4.9793485e-05 |
| 12,008 | Robust Voice Querying with MUVE: Optimally Visualizing Results of Phonetically Similar Queries | 2021 | VLDB | 4.9793485e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 11 of 11 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 180 | Constructing an Interactive Natural Language Interface for Relational Databases | 2015 | VLDB | 0.0002654471 |
| 439 | ATHENA: An Ontology-Driven System for Natural Language Querying over Relational Data Stores | 2016 | VLDB | 0.00018251249 |
| 1,877 | Making the Case for Query-by-Voice with EchoQuery | 2016 | SIGMOD | 9.4533419e-05 |
| 2,096 | Vizdom: Interactive Analytics through Pen and Touch | 2015 | VLDB | 9.0550231e-05 |
| 2,605 | dbTouch: Analytics at your Fingertips | 2013 | CIDR | 8.229938e-05 |
| 2,700 | On Improving User Response Times in Tableau | 2015 | SIGMOD | 8.1188166e-05 |
| 2,777 | DBPal: A Learned NL-Interface for Databases | 2018 | SIGMOD | 8.0302257e-05 |
| 3,003 | Gestural Query Specification | 2014 | VLDB | 7.7645915e-05 |
| 4,694 | Demonstration of SpeakQL: Speech-driven Multimodal Querying of Structured Data | 2019 | SIGMOD | 6.4654925e-05 |
| 5,168 | Querying Without Keyboards | 2013 | CIDR | 6.2460238e-05 |
| 5,576 | SpeakQL: Towards Speech-driven Multimodal Querying | 2019 | SIGMOD | 6.0789878e-05 |
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 12,008 | Robust Voice Querying with MUVE: Optimally Visualizing Results of Phonetically Similar Queries | 2021 | VLDB |
| 2 | 12,142 | A Holistic Approach for Query Evaluation and Result Vocalization in Voice-Based OLAP | 2019 | SIGMOD |
| 3 | 11,965 | Demonstrating Robust Voice Querying with MUVE: Optimally Visualizing Results of Phonetically Similar Queries | 2021 | SIGMOD |
| 4 | 10,958 | SpatialSQL: A Multi-Agent System for Interactive and Observable Spatial Text-to-SQL | 2026 | VLDB |
| 5 | 5,155 | An In-Depth Benchmarking of Text-to-SQL Systems | 2021 | SIGMOD |
| 6 | 3,003 | Gestural Query Specification | 2014 | VLDB |
| 7 | 1,877 | Making the Case for Query-by-Voice with EchoQuery | 2016 | SIGMOD |
| 8 | 11,852 | VoiceQuerySystem: A Voice-driven Database Querying System Using Natural Language Questions | 2022 | SIGMOD |
| 9 | 4,694 | Demonstration of SpeakQL: Speech-driven Multimodal Querying of Structured Data | 2019 | SIGMOD |
| 10 | 5,576 | SpeakQL: Towards Speech-driven Multimodal Querying | 2019 | SIGMOD |