公开(公告)号：US20250046336A1

公开(公告)日：2025-02-06

申请号：US18788092

申请日：2024-07-29

Applicant: CENTRAL CHINA NORMAL UNIVERSITY

Inventor： Zengzhao CHEN ,  Zhifeng Wang ,  Baolin YI ,  Jiangbo Shu ,  Shengming WANG ,  Xinxing Jiang

IPC: G10L25/78 ,  G10L21/0272 ,  G10L25/30

Abstract: Disclosed are a multi-speaker overlapping voice detection method and a system. The method includes: obtaining a voice to be detected, and removing silence from the voice to be detected is removed; extracting a feature of the voice to be detected after silence removal to obtain a voice feature of the voice to be detected; and inputting the voice feature into an overlapping voice detection model to obtain an overlapping speaker number corresponding to the voice to be detected output by the overlapping voice detection model. The overlapping voice detection model is obtained by supervised training based on a voice feature of a sample voice and a corresponding label of the overlapping speaker number, extracts an embedding of the voice feature, and classifies the overlapping speaker number to obtain the overlapping speaker number of the voice to be detected based on the extracted speaker embedding.

公开(公告)号：US11568012B2

公开(公告)日：2023-01-31

申请号：US16605806

申请日：2018-05-08

Applicant: CENTRAL CHINA NORMAL UNIVERSITY

Inventor： Zongkai Yang ,  Sannyuya Liu ,  Dongbo Zhou ,  Jianwen Sun ,  Jiangbo Shu ,  Hao Li

IPC: G06F16/00 ,  G06F16/9537 ,  G06F16/9535 ,  G09B5/12

Abstract: The disclosure discloses a method for analyzing educational big data on the basis of maps. The method includes acquiring educational resource data and storing the educational resource data into databases according to certain data structures; constructing theme map layers for each analysis theme, classifying and indexing data according to the analysis themes, and superimposing the theme map layers onto base maps to form data maps; analyzing data of the theme map layers according to the analysis themes and acquiring theme analysis results; extracting the data of the multiple theme map layers in target regions, fusing the data and acquiring region analysis results; acquiring learning preference of users; combining the learning preference of the users according to content of user requests and searching the region analysis results in response to the user requests. The disclosure further discloses a system for analyzing the educational big data on the basis of the maps.