A Human-Computer Collaborative Editing Method for Conference Shorthand

Abstract

The invention discloses a man-machine collaborative editing method for meeting shorthand, which includes the following steps: 1. The meeting shorthand terminal cuts the audio stream according to natural sentences, and sends the audio segment to a third-party server, and the third-party server converts the audio 2. When the meeting shorthand terminal cuts the audio stream, it records the start time, end time, and audio code of each audio segment, and combines the text corresponding to the audio segment returned by the third-party server to generate Log file; 3. The meeting shorthand terminal sends the audio segment, text and log file to the collaborative editing server; 4. The collaborative editing server performs one-to-one correspondence between the audio segment and the text according to the log file; 5. The manual editing terminal is used to The corresponding audio segment and text are manually corrected for the meeting record. The present invention can simply and conveniently correct the dynamically generated meeting record in real time according to the meeting audio.

Description

technical field [0001] The invention relates to the technical field of voice shorthand, in particular to a man-machine collaborative editing method for conference shorthand. Background technique [0002] During the meeting, the recorder records the organization and specific content of the meeting, forming the minutes of the meeting. The most traditional form is that the recorder takes on-site shorthand and checks the meeting minutes based on the meeting recordings after the meeting is over. [0003] With the development of speech recognition technology (ASR) and natural language processing technology (NLP), the audio generated in the meeting can be directly converted into text and generate meeting records in real time at the meeting site, which greatly reduces the workload of recorders. [0004] Speech recognition technology converts the lexical content in human speech into computer-readable input, such as keystrokes, binary codes or character sequences; natural language pr...

AI Technical Summary

Problems solved by technology

At present, the correction method adopted is mainly that after the meeting is over, the recorder sorts out and checks the meeting minutes according to the meeting recordings, which makes the generation of the meeting minutes a certain delay and inconvenience.

It is easy to think that the optimal correction method is of course to modify the text converted from the audio in real time, but the technical obstacle is how to realize the real-time modification of the text while the audio is being recorded and the text is being generated. , Quick correction, that is, how to timely and quickly correct the dynamically generated text

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