Data Vocalization: Optimizing Voice Output of Relational Data
Summary: Data vocalization: optimize relational data for voice interfaces; minimize speech time while preserving accuracy and cognitive load. NP-hard; ILP, two-phase apriori grouping, and a poly-time greedy yield near-optimal under submodular costs; experiments. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Immanuel Trummer
- 2. Jiancheng Zhu
- 3. Mark Bryan
Incoming Citations (Sorted by Pagerank)
Showing 5 of 5 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 6,007 | Data Vocalization with CiceroDB | 2019 | CIDR | 5.2415551e-05 |
| 6,908 | Demonstrating the Voice-Based Exploration of Large Data Sets with CiceroDB-Zero | 2020 | VLDB | 4.8925595e-05 |
| 11,384 | BABOONS: Black-Box Optimization of Data Summaries in Natural Language | 2022 | VLDB | 4.1945683e-05 |
| 11,646 | A Holistic Approach for Query Evaluation and Result Vocalization in Voice-Based OLAP | 2019 | SIGMOD | 4.1945683e-05 |
| 11,727 | Vocalizing Large Time Series Efficiently | 2018 | VLDB | 4.1945683e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 3 of 3 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 36 | Fast Algorithms for Mining Association Rules | 1994 | VLDB | 0.00076161096 |
| 1,673 | λόγος: A System for Translating Queries into Narratives | 2012 | SIGMOD | 0.00010948717 |
| 1,932 | Making the Case for Query-by-Voice with EchoQuery | 2016 | SIGMOD | 0.00010039301 |
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