SpeakQL: Towards Speech-driven Multimodal Querying
Summary: SpeakQL: a speech-driven multimodal query system for open-domain schemas, delivering near-SQL expressivity from speech and touch. Unbounded-vocabulary handling via an ASR wrapper and Structure Determination yields syntactically valid SQL with placeholders for corrections. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Vraj Shah (University of California San Diego)
BibTeX Citation
@inproceedings{shah_sigmod19,
title = {{SpeakQL: Towards Speech-driven Multimodal Querying}},
author = {Shah, Vraj},
series = {{SIGMOD} '19},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3299869.3300093},
url = {https://dl.acm.org/doi/10.1145/3299869.3300093},
year = {2019}
}Incoming Citations (Sorted by Pagerank)
Showing 7 of 7 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,593 | Demonstration of SpeakQL: Speech-driven Multimodal Querying of Structured Data | 2019 | SIGMOD | 6.6138904e-05 |
| 5,738 | SpeakQL: Towards Speech-driven Multimodal Querying of Structured Data | 2020 | SIGMOD | 6.1045268e-05 |
| 6,964 | Data Vocalization with CiceroDB | 2019 | CIDR | 5.7303405e-05 |
| 11,658 | Demonstrating Robust Voice Querying with MUVE: Optimally Visualizing Results of Phonetically Similar Queries | 2021 | SIGMOD | 5.093636e-05 |
| 11,704 | Robust Voice Querying with MUVE: Optimally Visualizing Results of Phonetically Similar Queries | 2021 | VLDB | 5.093636e-05 |
| 11,841 | A Holistic Approach for Query Evaluation and Result Vocalization in Voice-Based OLAP | 2019 | SIGMOD | 5.093636e-05 |
| 11,932 | Vocalizing Large Time Series Efficiently | 2018 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 4 of 4 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 179 | Constructing an Interactive Natural Language Interface for Relational Databases | 2015 | VLDB | 0.00026838277 |
| 1,828 | Making the Case for Query-by-Voice with EchoQuery | 2016 | SIGMOD | 9.6689075e-05 |
| 2,050 | Vizdom: Interactive Analytics through Pen and Touch | 2015 | VLDB | 9.2546631e-05 |
| 2,946 | Gestural Query Specification | 2014 | VLDB | 7.93259e-05 |
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 2,748 | Few-shot Text-to-SQL Translation using Structure and Content Prompt Learning | 2023 | SIGMOD |
| 2 | 5,174 | An In-Depth Benchmarking of Text-to-SQL Systems | 2021 | SIGMOD |
| 3 | 11,841 | A Holistic Approach for Query Evaluation and Result Vocalization in Voice-Based OLAP | 2019 | SIGMOD |
| 4 | 2,946 | Gestural Query Specification | 2014 | VLDB |
| 5 | 11,704 | Robust Voice Querying with MUVE: Optimally Visualizing Results of Phonetically Similar Queries | 2021 | VLDB |
| 6 | 11,658 | Demonstrating Robust Voice Querying with MUVE: Optimally Visualizing Results of Phonetically Similar Queries | 2021 | SIGMOD |
| 7 | 1,828 | Making the Case for Query-by-Voice with EchoQuery | 2016 | SIGMOD |
| 8 | 11,543 | VoiceQuerySystem: A Voice-driven Database Querying System Using Natural Language Questions | 2022 | SIGMOD |
| 9 | 4,593 | Demonstration of SpeakQL: Speech-driven Multimodal Querying of Structured Data | 2019 | SIGMOD |
| 10 | 5,738 | SpeakQL: Towards Speech-driven Multimodal Querying of Structured Data | 2020 | SIGMOD |