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2008

Using Automatically Transcribed Dialogs to Learn User Models in a Spoken Dialog System

11 years 6 months ago
Using Automatically Transcribed Dialogs to Learn User Models in a Spoken Dialog System
We use an EM algorithm to learn user models in a spoken dialog system. Our method requires automatically transcribed (with ASR) dialog corpora, plus a model of transcription errors, but does not otherwise need any manual transcription effort. We tested our method on a voice-controlled telephone directory application, and show that our learned models better replicate the true distribution of user actions than those trained by simpler methods and are very similar to user models estimated from manually transcribed dialogs.
Umar Syed, Jason Williams
Added 29 Oct 2010
Updated 29 Oct 2010
Type Conference
Year 2008
Where ACL
Authors Umar Syed, Jason Williams
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