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 |
|---|---|---|---|---|
| 4,696 | Demonstration of SpeakQL: Speech-driven Multimodal Querying of Structured Data | 2019 | SIGMOD | 6.4624318e-05 |
| 5,864 | SpeakQL: Towards Speech-driven Multimodal Querying of Structured Data | 2020 | SIGMOD | 5.9647326e-05 |
| 7,106 | Data Vocalization with CiceroDB | 2019 | CIDR | 5.5991152e-05 |
| 11,971 | Demonstrating Robust Voice Querying with MUVE: Optimally Visualizing Results of Phonetically Similar Queries | 2021 | SIGMOD | 4.9769913e-05 |
| 12,014 | Robust Voice Querying with MUVE: Optimally Visualizing Results of Phonetically Similar Queries | 2021 | VLDB | 4.9769913e-05 |
| 12,148 | A Holistic Approach for Query Evaluation and Result Vocalization in Voice-Based OLAP | 2019 | SIGMOD | 4.9769913e-05 |
| 12,237 | Vocalizing Large Time Series Efficiently | 2018 | VLDB | 4.9769913e-05 |
Previous
Page 1 / 1
Next
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 |
|---|---|---|---|---|
| 180 | Constructing an Interactive Natural Language Interface for Relational Databases | 2015 | VLDB | 0.00026541021 |
| 1,879 | Making the Case for Query-by-Voice with EchoQuery | 2016 | SIGMOD | 9.4489661e-05 |
| 2,097 | Vizdom: Interactive Analytics through Pen and Touch | 2015 | VLDB | 9.0525341e-05 |
| 3,005 | Gestural Query Specification | 2014 | VLDB | 7.7609244e-05 |
Previous
Page 1 / 1
Next
Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 5,156 | An In-Depth Benchmarking of Text-to-SQL Systems | 2021 | SIGMOD |
| 2 | 10,967 | SpatialSQL: A Multi-Agent System for Interactive and Observable Spatial Text-to-SQL | 2026 | VLDB |
| 3 | 12,148 | A Holistic Approach for Query Evaluation and Result Vocalization in Voice-Based OLAP | 2019 | SIGMOD |
| 4 | 3,005 | Gestural Query Specification | 2014 | VLDB |
| 5 | 11,971 | Demonstrating Robust Voice Querying with MUVE: Optimally Visualizing Results of Phonetically Similar Queries | 2021 | SIGMOD |
| 6 | 12,014 | Robust Voice Querying with MUVE: Optimally Visualizing Results of Phonetically Similar Queries | 2021 | VLDB |
| 7 | 1,879 | Making the Case for Query-by-Voice with EchoQuery | 2016 | SIGMOD |
| 8 | 11,858 | VoiceQuerySystem: A Voice-driven Database Querying System Using Natural Language Questions | 2022 | SIGMOD |
| 9 | 4,696 | Demonstration of SpeakQL: Speech-driven Multimodal Querying of Structured Data | 2019 | SIGMOD |
| 10 | 5,864 | SpeakQL: Towards Speech-driven Multimodal Querying of Structured Data | 2020 | SIGMOD |