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公开(公告)号：US20210312910A1
公开(公告)日：2021-10-07
申请号：US17353758
申请日：2021-06-21
Inventor： Li CHEN , Saisai ZOU
Abstract: Embodiments of the present disclosure disclose a method, apparatus and device for training a network, and a storage medium, relate to the field of artificial intelligence technology such as deep learning and speech analysis. A semantic prediction network comprises: an encoder network and at least one decoder network; and a particular solution is: acquiring a first speech feature of a target speech sample; the target speech sample being a synthesized speech sample or a real speech sample, the synthesized speech sample being attached with a sample syllable label and a semantic label comprising a value of the domain, and the real speech sample being attached with a sample syllable label; and jointly training an initial semantic prediction network and a syllable classification network using the first speech feature of the target speech sample, to obtain a trained semantic prediction network.
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公开(公告)号：US20170255879A1
公开(公告)日：2017-09-07
申请号：US15392017
申请日：2016-12-28
Inventor： Li CHEN , Qian XU , Hao TIAN , Jingzhou HE , Lei SHI , Fan WANG , Shiwei HUANG , Derong ZHENG
CPC classification number: G06N20/00 , G06F16/90335 , G06F16/904 , G06N7/005
Abstract: A searching method and device based on artificial intelligence is provided in the present disclosure. The searching method includes: obtaining a query; obtaining a first search result corresponding to the query according to a Markov Decision Process MDP model; displaying the first search result; and obtaining a reward for the first search result from a user so as to obtain a second search result according to the MDP model, and displaying the second search result. According to the searching method, the interaction with the user may be more effective, the user's demand is better satisfied, and the user experience is improved.
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