Online Interview System With Real-Time Audio-To-Text Conversion
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Solution Overview
Problem
Current online interview and video conference systems require significant manual intervention, leading to biased or missing viewpoints during multi-speaker sessions, and require manual recording of speech, which is time-consuming and prone to errors.
Innovation Solution
An online interview system that establishes communication between interviewing and interviewed terminals through a network, utilizing a text processing terminal to convert audio and video information into text in real-time, allowing for automatic extraction of viewpoint information and dynamic updating of question lists based on speaker viewpoints.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual auxiliary operation is used in online interviews, then the interview process can be controlled, but the user experience is reduced and manual effort increases
Solution Approach 1:
The system automatically performs tasks that previously required manual intervention. The audio-to-text conversion happens automatically during the interview, viewpoints are extracted automatically from the converted text, and the question list is dynamically updated without manual input. This self-service approach eliminates the need for manual auxiliary operations while maintaining full control over the interview process.
Solution Approach 2:
The patent replaces manual mechanical operations with automated computational processes. Instead of manually recording and transcribing speech, the system uses audio-to-text conversion technology. Instead of manually analyzing viewpoints, the system automatically extracts them from the converted text. This substitution of mechanical manual work with automated systems improves user experience while reducing the need for manual auxiliary operations.
2Productivity
If manual recording of speech is performed, then accuracy can be monitored, but the process becomes time-consuming and error-prone
Solution Approach 1:
The patent replaces manual speech recording with automated audio-to-text conversion technology. The system automatically converts spoken words into text during the interview process, eliminating the need for manual transcription. This substitution dramatically increases processing speed while reducing the time required for recording and transcribing speech, directly addressing the productivity-time loss contradiction.
Solution Approach 2:
The audio-to-text conversion operates continuously throughout the interview process rather than requiring post-interview transcription. The system processes speech in real-time as it occurs, maintaining continuous useful action throughout the interview. This continuous processing eliminates idle time between speaking and recording, maximizing productivity while minimizing time loss.
3Measurement precision
If manual extraction of viewpoints is performed, then accuracy can be ensured, but viewpoints may still be biased or missing in multi-speaker sessions
Solution Approach 1:
The patent replaces manual viewpoint extraction with automated text analysis technology. The system automatically processes the converted text to identify and extract viewpoints from multiple speakers, eliminating human bias and oversight. This automated extraction ensures that all viewpoints are captured accurately without the limitations of manual analysis, particularly in multi-speaker sessions where manual tracking becomes error-prone.
Solution Approach 2:
The system implements a feedback mechanism where the extracted viewpoints are used to dynamically update the question list. This closed-loop feedback ensures that no viewpoints are lost or overlooked, as each extracted viewpoint triggers相应 updates to the interview flow. The feedback mechanism continuously monitors and adjusts the interview process based on extracted viewpoints, ensuring comprehensive coverage of all speaker perspectives.
4Ease of operation
If real-time audio to text conversion is implemented, then manual effort is reduced, but system complexity increases
Solution Approach 1:
The system integrates multiple functions into a unified platform: audio-to-text conversion, viewpoint extraction, and dynamic question list updates all occur within the same interview system. This multi-functionality reduces the need for separate manual processes and external tools, thereby reducing overall manual effort despite the increased internal system complexity. The universal system handles multiple tasks that would otherwise require separate manual interventions.
Solution Approach 2:
The patent introduces an intermediary text processing terminal that bridges the audio input and the interview management system. This intermediary component handles the complex audio-to-text conversion and viewpoint extraction tasks, isolating the complexity from the main interview control system. By using this intermediary layer, the system manages complexity while still achieving significant manual effort reduction for users.
Data Source
AI summary
One or more embodiments of the present specification relates to an online interview method and system. The method includes: establishing communication connection between an interviewing terminal and an interviewed terminal through a network; and acquiring communication information between the interviewing terminal and the interviewed terminal. The communication information includes one or more types of audio information, video information, and text information. The interviewing terminal includes one or more of a first host terminal, a second host terminal, and a text processing terminal. The first host terminal is configured to host an interview, and the first host terminal displays an interview outline and/or information of the interviewed terminal. The second host terminal is configured to host the interview and/or participate in the consultation of interview questions. The text processing terminal converts the audio information and/or the audio information in the video into corresponding text information.