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)
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Authors
- 1. Ziyun Wei
- 2. Immanuel Trummer
- 3. Connor Anderson
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| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 11,506 | Robust Voice Querying with MUVE: Optimally Visualizing Results of Phonetically Similar Queries | 2021 | VLDB | 4.1945683e-05 |
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