Patents by Inventor Shukai ZHENG

Shukai ZHENG has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Speech emotion recognition method and system based on fused population information
    Patent number: 11837252
    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.
    Type: Grant
    Filed: June 21, 2022
    Date of Patent: December 5, 2023
    Assignee: Zhejiang Lab
    Inventors: Taihao Li, Shukai Zheng, Yulong Liu, Guanxiong Pei, Shijie Ma
  • SPEECH EMOTION RECOGNITION METHOD AND SYSTEM BASED ON FUSED POPULATION INFORMATION
    Publication number: 20220328065
    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.
    Type: Application
    Filed: June 21, 2022
    Publication date: October 13, 2022
    Applicant: Zhejiang Lab
    Inventors: Taihao LI, Shukai ZHENG, Yulong LIU, Guanxiong PEI, Shijie MA