Demonstration of SpeakQL: Speech-driven Multimodal Querying of Structured Data
Summary: SpeakQL: speech-driven interface for structured data, with a tractable SQL subset, unbounded vocabulary, and in-loop correction. ASR errors are mitigated by CFG-based query-structure correction and phonetic literal disambiguation, enabling schema-agnostic querying across arbitrary schemas; demonstrated via a web UI. (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. Kevin Yang (University of California San Diego)
- 4. Arun Kumar (University of California San Diego)
- 5. Lawrence Saul (University of California San Diego)
BibTeX Citation
@inproceedings{shah_sigmod19,
title = {{Demonstration of SpeakQL: Speech-driven Multimodal Querying of Structured Data}},
author = {Shah, Vraj and Li, Side and Yang, Kevin and Kumar, Arun and Saul, Lawrence},
series = {{SIGMOD} '19},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3299869.3320224},
url = {https://dl.acm.org/doi/10.1145/3299869.3320224},
year = {2019}
}Incoming Citations (Sorted by Pagerank)
Showing 5 of 5 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 5,738 | SpeakQL: Towards Speech-driven Multimodal Querying of Structured Data | 2020 | SIGMOD | 6.1045268e-05 |
| 7,511 | Demonstrating the Voice-Based Exploration of Large Data Sets with CiceroDB-Zero | 2020 | VLDB | 5.6029996e-05 |
| 11,543 | VoiceQuerySystem: A Voice-driven Database Querying System Using Natural Language Questions | 2022 | SIGMOD | 5.093636e-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 |
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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 |
| 5,440 | SpeakQL: Towards Speech-driven Multimodal Querying | 2019 | SIGMOD | 6.2185146e-05 |
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 8,987 | Constructing Expressive Relational Queries with Dual-Specification Synthesis | 2020 | CIDR |
| 2 | 11,704 | Robust Voice Querying with MUVE: Optimally Visualizing Results of Phonetically Similar Queries | 2021 | VLDB |
| 3 | 11,483 | EQUI-VOCAL Demonstration: Synthesizing Video Queries from User Interactions | 2023 | VLDB |
| 4 | 2,778 | DBPal: A Learned NL-Interface for Databases | 2018 | SIGMOD |
| 5 | 11,658 | Demonstrating Robust Voice Querying with MUVE: Optimally Visualizing Results of Phonetically Similar Queries | 2021 | SIGMOD |
| 6 | 9,368 | SQuID: Semantic Similarity-Aware Query Intent Discovery | 2018 | 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 | 5,440 | SpeakQL: Towards Speech-driven Multimodal Querying | 2019 | SIGMOD |
| 10 | 5,738 | SpeakQL: Towards Speech-driven Multimodal Querying of Structured Data | 2020 | SIGMOD |