Hot Word Extraction for Video Conference Speech-to-Text Accuracy
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Solution Overview
Problem
In online communication, users often struggle to accurately determine the core content of videos, leading to low interactive efficiency due to poor understanding of conference content, resulting in inaccuracies in determining hot words.
Innovation Solution
A method and apparatus for rapid hot word extraction in videos, which involves determining a target key video frame, identifying a target region within it, and processing the content to determine the hot word, improving speech-to-text conversion accuracy and convenience by dynamically generating and updating hot words during video conferences or live broadcasts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If users manually determine core content from video and audio, then no additional processing is needed, but understanding accuracy is poor and interactive efficiency is low
Solution Approach 1:
The patent replaces manual human analysis of video and audio content with automated speech-to-text conversion and text processing algorithms. The system automatically converts speech to text, extracts keywords, and identifies core content without requiring users to manually analyze the media, thereby improving both accuracy and efficiency simultaneously
Solution Approach 2:
The system enables self-service by automatically performing speech-to-text conversion, keyword extraction, and core content identification without user intervention. The apparatus autonomously processes the video and audio content to generate accurate transcripts and extract key information, eliminating the need for users to manually determine core content
2Measurement precision
If speech-to-text conversion is performed without hot word extraction, then the process is simple, but conversion accuracy is low
Solution Approach 1:
The system performs preliminary hot word extraction from video content before the speech-to-text conversion process. By pre-identifying key terms and concepts that are visually presented in the video, the system prepares a reference vocabulary that guides and improves the accuracy of the subsequent speech-to-text conversion, without adding significant complexity to the overall process
Solution Approach 2:
The patent introduces hot word extraction as an intermediary step between video content and speech-to-text conversion. This intermediary process identifies key terms that serve as a bridge, helping the speech-to-text system understand the context and improve conversion accuracy by aligning spoken content with visually presented key information
Data Source
AI summary
Provided are a hot word extraction method and apparatus, an electronic device, and a storage medium. The method includes that a target key video frame is determined, that a target region in the target key video frame is determined, that target content in the target key video frame is determined based on the target region, and that a hot word of the target key video frame is determined by processing the target content.