SpeakNav: Voice-based Route Description Language Understanding for Template-driven Path Search
Summary: SpeakNav enables voice-described routes for template-driven path search, with RT-BERT extracting POI keywords and distance constraints from speech. It adds a template-driven query, a hybrid label index for distances, and a branch-and-bound algorithm with a PB-tree, delivering higher accuracy and efficiency. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Bolong Zheng
- 2. Lei Bi
- 3. Juan Cao
- 4. Hua Chai
- 5. Jun Fang
- 6. Lu Chen
- 7. Yunjun Gao
- 8. Xiaofang Zhou
- 9. Christian S. Jensen
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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 |
|---|---|---|---|---|
| 260 | Fast Exact Shortest-Path Distance Queries on Large Networks by Pruned Landmark Labeling | 2013 | SIGMOD | 0.00030040036 |
| 1,654 | An Experimental Study on Hub Labeling based Shortest Path Algorithms | 2018 | VLDB | 0.000109978 |
| 3,588 | Keyword-aware Optimal Route Search | 2012 | VLDB | 6.9428691e-05 |
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