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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)

Paper ID
5732
Venue
SIGMOD
Year
2019
Pagerank
6.1585143e-05
Overall Rank
4,467 | 68.93%
DOI
10.1145/3299869.3320224

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

Rank Cited Paper Year Venue Pagerank
206 Constructing an Interactive Natural Language Interface for Relational Databases 2015 VLDB 0.00034667032
1,932 Making the Case for Query-by-Voice with EchoQuery 2016 SIGMOD 0.00010039301
2,251 Vizdom: Interactive Analytics through Pen and Touch 2015 VLDB 9.1986441e-05
5,747 SpeakQL: Towards Speech-driven Multimodal Querying 2019 SIGMOD 5.3420215e-05
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