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US Patent 11264009 System and method for a dialogue response generation system

Patent 11264009 was granted and assigned to Mitsubishi Electric Research Laboratories on March, 2022 by the United States Patent and Trademark Office.

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Patent
Patent

Patent attributes

Patent Applicant
Mitsubishi Electric Research Laboratories
Mitsubishi Electric Research Laboratories
Current Assignee
Mitsubishi Electric Research Laboratories
Mitsubishi Electric Research Laboratories
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
11264009
Patent Inventor Names
Chiori Hori0
Anoop Cherian0
Takaaki Hori0
Tim Marks0
Date of Patent
March 1, 2022
Patent Application Number
16569679
Date Filed
September 13, 2019
Patent Citations
‌
US Patent 10762425 Learning affinity via a spatial propagation neural network
‌
US Patent 10861483 Processing video and audio data to produce a probability distribution of mismatch-based emotional states of a person
Patent Citations Received
‌
US Patent 11985527 Systems and methods for autonomous network management using deep reinforcement learning
0
Patent Primary Examiner
‌
Michael Colucci
Patent abstract

A computer-implemented method for training a dialogue response generation system and the dialogue response generation system are provided. The method includes arranging a first multimodal encoder-decoder for the dialogue response generation or video description having a first input and a first output, wherein the first multimodal encoder-decoder has been pretrained by training audio-video datasets with training video description sentences, arranging a second multimodal encoder-decoder for dialog response generation having a second input and a second output, providing first audio-visual datasets with first corresponding video description sentences to the first input of the first multimodal encoder-decoder, wherein the first encoder-decoder generates first output values based on the first audio-visual datasets with the first corresponding description sentences, providing the first audio-visual datasets excluding the first corresponding video description sentences to the second multimodal encoder-decoder. In this case, the second multimodal encoder-decoder generates second output values based on the first audio-visual datasets without the first corresponding video description sentences.

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