Name
Title | ||
|---|---|---|
A methodology for turn-taking capabilities enhancement in Spoken Dialogue Systems using Reinforcement Learning. |
Abstract | ||
|---|---|---|
•We propose a new methodology to improve turn-taking capabilities in a Spoken Dialogue System using Reinforcement Learning.•We describe a new incremental Dialogue System Architecture and a new incremental dialogue simulator.•We train a Reinforcement Learning policy with the simulator.•We show that it outperforms the handcrafted and the non-incremental baseline strategies.•We validate these results in a live study with real users.
|
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.csl.2017.07.006 | Computer Speech & Language |
Keywords | Field | DocType |
Spoken Dialogue Systems,Turn-taking,Incremental dialogue,Reinforcement Learning | Architecture,Turn-taking,Computer science,Baseline (configuration management),Speech recognition,Artificial intelligence,Machine learning,Reinforcement learning | Journal |
Volume | Issue | ISSN |
47 | C | 0885-2308 |
Citations | PageRank | References |
1 | 0.35 | 26 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hatim Khouzaimi | 1 | 30 | 3.82 |
| Romain Laroche | 2 | 110 | 17.35 |
| Fabrice Lefèvre | 3 | 185 | 26.62 |