Videoconference Speech-to-Text Conversion via Intermediary Processing
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Solution Overview
Problem
Current videoconferencing systems lack the ability to automatically convert audio speech into text information in real-time, limiting the functionality and usability of videoconferences, especially in terms of transcription and language translation.
Innovation Solution
A method is implemented in videoconferencing devices to receive audio information from remote endpoints, automatically convert speech into text, and store or display this text information, with the option to translate it into other languages, enhancing participant interaction and data management during conferences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If speech-to-text conversion functionality is added to videoconferencing systems, then the usability and functionality are improved, but the device complexity increases
Solution Approach 1:
The patent introduces a separate speech-to-text conversion system that receives audio information from the videoconferencing system and processes it independently. This intermediary approach allows the core videoconferencing functionality to remain simple while adding transcription capabilities through a dedicated module that operates in parallel, thus improving usability without significantly increasing the complexity of the main system.
Solution Approach 2:
The videoconferencing device is enhanced to perform multiple functions: traditional video/audio communication plus speech-to-text conversion. By integrating a multi-functional capability into the existing device, the system provides both real-time communication and transcription services, improving overall usability while consolidating functions within a single platform.
2Productivity
If real-time speech conversion is implemented, then the productivity is improved, but the use of energy increases
Solution Approach 1:
The speech-to-text conversion operates periodically based on speech detection rather than continuously processing all audio. The system activates transcription processing when speech is detected and pauses during non-speech periods, maintaining high productivity for actual communication while reducing energy consumption during idle intervals.
3Loss of information
If speech-to-text conversion is added, then the loss of information is reduced, but the device complexity increases
Solution Approach 1:
The system creates a text copy of the spoken audio information, providing a parallel representation of the same data. This text transcript serves as a backup or alternative form of the information, ensuring that content is preserved and can be reviewed later, thus reducing information loss while adding a relatively simple transcription layer to the existing system.
Data Source
AI summary
Various embodiments of a method for automatically converting audio speech in a videoconference into text information are described. According to one embodiment of the method, a videoconferencing device at a first endpoint in the videoconference may receive a stream of video information and audio information from a videoconferencing device at a second endpoint in the videoconference. The audio information includes speech of a participant at the second endpoint. The videoconferencing device at the first endpoint may automatically convert the speech into text information.