Patent ID: 11922969
Assignee: TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITED
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 6:
7. A speech emotion detection system, comprising a hardware processor, the hardware processor configured to:
extracting speech features of to-be-detected speech data to form a speech feature matrix corresponding to the to-be-detected speech data;
input the speech feature matrix to an emotion state probability detection model, the emotion state probability detection model being trained based on a deep neural network (DNN) model;
generate an emotion state probability matrix that corresponds to the to-be-detected speech data using the DNN model, the emotion state probability matrix comprising a silent probability which is a probability of a pause in the to-be-detected speech data;
generate, based on the emotion state probability matrix, the speech feature matrix, and an emotion state transition model, an emotion state sequence corresponding to the to-be-detected speech data, the emotion state sequence comprising at least one silent state, wherein a detection of the at least one silent state does not rely on a mechanism that is based on a power of the to-be-detected speech data;
detect M successive silent frames according to the at least one silent state in the emotion state sequence, M being an integer;
in a determination that M is greater than a predefined threshold, segment the to-be-detected speech data according to the M successive silent frames to obtain non-silent speech sub-segments; and
determine, based on the emotion state sub-sequences corresponding to the non-silent speech sub-segments, emotion states corresponding to the to-be-detected speech data.