TWO-STAGE TRAINING OF A SPOKEN DIALOGUE SYSTEM

Described herein are systems and methods for two-stage training of a spoken dialogue system. The first stage trains a policy network using external data to produce a semi-trained policy network. The external data includes one or more known fixed dialogues. The second stage trains the semi-trained po...

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Bibliographic Details
Main Authors El Asri Layla, He Jing, Schulz Hannes, Fatemi Booshehri Seyed Mehdi, Suleman Kaheer
Format Patent
LanguageEnglish
Published 16.11.2017
Subjects
ACOUSTICS
MUSICAL INSTRUMENTS
PHYSICS
SPEECH ANALYSIS OR SYNTHESIS
SPEECH OR AUDIO CODING OR DECODING
SPEECH OR VOICE PROCESSING
SPEECH RECOGNITION
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Summary:Described herein are systems and methods for two-stage training of a spoken dialogue system. The first stage trains a policy network using external data to produce a semi-trained policy network. The external data includes one or more known fixed dialogues. The second stage trains the semi-trained policy network through interaction to produce a trained policy network. The interaction may be interaction with a user simulator.
Bibliography:Application Number: US201715594308