OPEN DOMAIN DIALOG REPLY METHOD AND SYSTEM BASED ON THEMATIC ENHANCEMENT

    公开(公告)号:US20240062006A1

    公开(公告)日:2024-02-22

    申请号:US18297610

    申请日:2023-04-08

    Applicant: ZHEJIANG LAB

    CPC classification number: G06F40/284 G06F40/30 G06F40/268

    Abstract: An open domain dialog reply method and a system based on thematic enhancement are provided. The method includes: collecting and pre-processing text corpuses to obtain Chinese dialog corpus dataset, performing sentence breaking, word separation, and lexical annotation of dialogs and extracting noun words, performing enhancement of semantic and thematic information on each sentence, and learning vector representations of original sentences and enhanced sentences by a pre-trained sentence representation model, performing thematic aggregation enhancement by a graph convolutional neural network, and inputting the sentence vector after the thematic aggregation enhancement into a pre-trained generative model, generating a candidate set of dialog replies, and training a reply ranking selection model with a contrast learning manner to select the most suitable reply.

    REAL-TIME EVALUATION METHOD AND EVALUATION SYSTEM FOR GROUP EMOTION HOMOGENEITY

    公开(公告)号:US20220265218A1

    公开(公告)日:2022-08-25

    申请号:US17571523

    申请日:2022-01-09

    Applicant: Zhejiang Lab

    Abstract: The present invention discloses a real-time evaluation method and evaluation system for group emotion homogeneity. The method comprises the steps as follows: enabling testees to be in the same emotion induction environment, and collecting the original electroencephalograph (EEG) signals of multiple persons at the same time through online multichannel EEG equipment; and based on the average instantaneous phase per second of the beta frequency band and the energy value per second of the alpha frequency band obtained after wavelet transformation, calculating the time synchronization degree and the valence consistency degree in real time, and finally obtaining a group emotion homogeneity index for the objective evaluation of group emotion homogeneity.

    SPEECH EMOTION RECOGNITION METHOD AND SYSTEM BASED ON FUSED POPULATION INFORMATION

    公开(公告)号:US20220328065A1

    公开(公告)日:2022-10-13

    申请号:US17845908

    申请日:2022-06-21

    Applicant: Zhejiang Lab

    Abstract: The present invention discloses a speech emotion recognition method and system based on fused population information. The method includes the following steps: S1: acquiring a user's audio data; S2: preprocessing the audio data, and obtaining a Mel spectrogram feature; S3: cutting off a front mute segment and a rear mute segment of the Mel spectrogram feature; S4: obtaining population depth feature information through a population classification network; S5: obtaining Mel spectrogram depth feature information through a Mel spectrogram preprocessing network; S6: fusing the population depth feature information and the Mel spectrogram depth feature information through SENet to obtain fused information; and S7: obtaining an emotion recognition result from the fused information through a classification network.

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