Synchronized Caption Timing via Transcript Correlation
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Solution Overview
Problem
Existing captioning technologies struggle with synchronization accuracy, whether relying on human transcribers or automated methods, leading to out-of-sync captions.
Innovation Solution
Correlate timing information from an automatically generated first transcript with a second transcript, potentially created by human transcribers, to synchronize captions accurately by comparing word matches and using multiple transcribers for improved accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If human transcribers are used to generate captions, then transcription accuracy is improved, but timing information accuracy and synchronization are worsened
Solution Approach 1:
The patent combines human transcriber input with automated speech recognition by correlating timing information from automated transcripts with human transcribed text. This merging approach allows the system to benefit from both human accuracy in transcription and automated precision in timing information, resolving the contradiction between these two requirements.
Solution Approach 2:
The patent uses an intermediary correlation process that matches timing information from automated transcripts with human transcribed content. This intermediary mechanism allows timing data from automated sources to be associated with human-transcribed text, enabling synchronization without requiring humans to manually timestamp each caption.
2Manufacturing precision
If automated techniques are used to generate captions, then timing information accuracy is improved, but transcription accuracy is worsened
Solution Approach 1:
The system merges automated speech recognition output with human transcriber input by correlating timing information from automated transcripts with human-transcribed text. This combination allows automated timing precision to be combined with human transcription accuracy, overcoming the limitations of either approach alone.
Solution Approach 2:
The patent implements feedback by using human transcriber input to correct and verify automated transcription results. The system compares automated timing information with human-transcribed content, allowing feedback loops that improve overall accuracy while maintaining efficient automated processing.
3Measurement precision
If multiple transcribers are used to improve accuracy, then transcription quality is improved, but system complexity and processing time are worsened
Solution Approach 1:
The patent merges multiple transcriber inputs and automated recognition results into a single correlated output. By combining the strengths of multiple sources through correlation algorithms, the system achieves high transcription quality without requiring complex manual coordination of multiple human transcribers, thus reducing overall system complexity.
Data Source
AI summary
Methods, apparatuses, and systems are described for correlating timing information from a first audio transcript with a second audio transcript that may not have timing information. By correlating the second transcript with the timing information, an accurate and synchronized transcript may be generated. To correlate the second transcript with the timing information, a first transcript that contains the timing information may be generated, and words of the first transcript may be compared to words of the second transcript to associate the timing information of the first transcript with the words of the second transcript.