Expression ability dimension evaluation method and device for intelligent interview

Abstract

The invention discloses an expression ability dimension evaluation method and device for intelligent interview, and the method comprises the steps: collecting an interview video, extracting a video frame and audio data, firstly inputting the video frame into a CNN-based hand detection model to obtain a bottom-layer hand posture feature, and inputting the audio data into an audio processing module based on natural language processing to obtain a bottom-layer voice expression feature; respectively inputting the two underlying features into two LSTM codes to form time sequence features; extracting abstract high-level semantic features, including hand expression, expression fluency, infectivity, orderliness and conciseness information, from the two low-level features through a priori knowledge rule; standardizing the time sequence features and the high-level semantic features and then inputtingthe standardized time sequence features and the standardized high-level semantic features into a full-connection neural network, and predicting the expression ability level. The system uses distributed function calculation service construction to form an expression ability evaluation system. According to the method, the efficiency problems of subjective deviation and time cost of expression ability scoring in interviews are solved, and rapid and accurate expression ability evaluation of a large number of interview videos is realized.

Description

technical field [0001] The invention belongs to the technical field of artificial intelligence, relates to feature extraction of images and audio information and machine learning of deep dimensions, is used for modeling and analyzing feature portraits of interviewers, and is an expression ability dimension evaluation method for intelligent interviews and devices. Background technique [0002] With the development of technology and the needs of economic development, most companies have the need to reduce costs and increase efficiency. Reducing human input in recruitment and improving efficiency are an important part of it. For positions with clear standards and low requirements for interviewers, AI interview technology can automatically judge whether interviewers meet the requirements by setting standardized questions. For high-demand positions, AI interviews can be used for preliminary screening of interviewers. Thereby reducing the follow-up interview workload of the inter...

AI Technical Summary

Problems solved by technology

[0005] The problem to be solved by the present invention is to solve the problem that the evaluation gap and analysis of the existing online interview system are not accurate and reasonable in terms of expression ability, and the purpose is to quickly and accurately evaluate talent expression ability through automated processes and intelligent tools, and improve Interview efficiency and assessment quality

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