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

Inventor： Taihao LI ,  Guanxiong PEI ,  Yulong LIU

IPC: A61B5/00 ,  A61B5/372 ,  A61B5/378 ,  A61B5/31

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.

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

Inventor： Taihao LI ,  Shukai ZHENG ,  Yulong LIU ,  Guanxiong PEI ,  Shijie MA

IPC: G10L25/63 ,  G10L25/18 ,  G10L25/30 ,  G10L25/21

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.