Demonstrating Robust Voice Querying with MUVE: Optimally Visualizing Results of Phonetically Similar Queries

Summary: MUVE uses multiplots to visualize phonetically similar voice-to-SQL queries, mapping input to candidates and selecting subset to reduce ASR risk. NP-hard display optimization; IP-based exhaustive search and a greedy heuristic yield faster results. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 6097
Venue: SIGMOD
Year: 2021
Pagerank: 5.093636e-05
Overall Rank: 11,658 | 20.02%
DOI: 10.1145/3448016.3452753

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

Authors

1. Ziyun Wei (Cornell University)
2. Immanuel Trummer (Cornell University)
3. Connor Anderson (Cornell University)

BibTeX Citation

@inproceedings{wei_sigmod21,
        title = {{Demonstrating Robust Voice Querying with MUVE: Optimally Visualizing Results of Phonetically Similar Queries}},
        author = {Wei, Ziyun and Trummer, Immanuel and Anderson, Connor},
        series = {{SIGMOD} '21},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3448016.3452753},
        url = {https://dl.acm.org/doi/10.1145/3448016.3452753},
        year = {2021}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
11,704	Robust Voice Querying with MUVE: Optimally Visualizing Results of Phonetically Similar Queries	2021	VLDB	5.093636e-05

Outgoing Citations (Sorted by Pagerank)

Showing 10 of 10 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank	Cited Paper	Year	Venue	Pagerank
459	ATHENA: An Ontology-Driven System for Natural Language Querying over Relational Data Stores	2016	VLDB	0.00018101318
555	NaLIR: An Interactive Natural Language Interface for Querying Relational Databases	2014	SIGMOD	0.00016568053
1,828	Making the Case for Query-by-Voice with EchoQuery	2016	SIGMOD	9.6689075e-05
4,593	Demonstration of SpeakQL: Speech-driven Multimodal Querying of Structured Data	2019	SIGMOD	6.6138904e-05
4,904	Mining Precision Interfaces From Query Logs	2019	SIGMOD	6.4503063e-05
5,440	SpeakQL: Towards Speech-driven Multimodal Querying	2019	SIGMOD	6.2185146e-05
5,738	SpeakQL: Towards Speech-driven Multimodal Querying of Structured Data	2020	SIGMOD	6.1045268e-05
6,530	Natural Language Querying of Complex Business Intelligence Queries	2019	SIGMOD	5.8500871e-05
6,964	Data Vocalization with CiceroDB	2019	CIDR	5.7303405e-05
11,841	A Holistic Approach for Query Evaluation and Result Vocalization in Voice-Based OLAP	2019	SIGMOD	5.093636e-05

Semantically Similar Papers

#	Overall Rank	Paper	Year	Venue
1	3,268	Efficient and Provable Multi-Query Optimization	2017	PODS
2	11,932	Vocalizing Large Time Series Efficiently	2018	VLDB
3	11,841	A Holistic Approach for Query Evaluation and Result Vocalization in Voice-Based OLAP	2019	SIGMOD
4	5,440	SpeakQL: Towards Speech-driven Multimodal Querying	2019	SIGMOD
5	5,738	SpeakQL: Towards Speech-driven Multimodal Querying of Structured Data	2020	SIGMOD
6	11,543	VoiceQuerySystem: A Voice-driven Database Querying System Using Natural Language Questions	2022	SIGMOD
7	4,593	Demonstration of SpeakQL: Speech-driven Multimodal Querying of Structured Data	2019	SIGMOD
8	1,828	Making the Case for Query-by-Voice with EchoQuery	2016	SIGMOD
9	12,004	Data Vocalization: Optimizing Voice Output of Relational Data	2017	VLDB
10	11,704	Robust Voice Querying with MUVE: Optimally Visualizing Results of Phonetically Similar Queries	2021	VLDB