Dynamic Caption Update via Transcript Replacement
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Solution Overview
Problem
Current communication systems experience significant latency delays when transcribing audio data into text captions, particularly for long sentences, which degrades the interactive experience for users.
Innovation Solution
A method where a client receives a transcript and sentence identifier from a service server, updates the displayed caption content dynamically by replacing or updating it based on differences, allowing for real-time caption display without waiting for complete transcription, thereby reducing latency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the server issues transcribed texts to the client after finishing transcribing audio data of each sentence, then the transcription accuracy is improved, but the caption latency increases
Solution Approach 1:
The system performs preliminary action by displaying intermediate transcription results as soon as they are available, rather than waiting for the complete transcription to finish. This allows the client to show captions dynamically during the transcription process, reducing latency while maintaining the ability to update with more accurate results when available.
Solution Approach 2:
The system implements dynamic caption display by continuously updating the displayed text based on the transcription progress. The caption can change from intermediate results to final accurate transcriptions in real-time, making the system adaptable between speed and accuracy requirements.
2Manufacturing precision
If the server waits for complete sentence transcription before displaying captions, then the transcription quality is improved, but the interactive experience deteriorates
Solution Approach 1:
The system displays preliminary transcription results immediately when available, providing immediate feedback to users. This preliminary action maintains interactive experience by showing something useful right away, while the system continues to refine the transcription in the background.
Solution Approach 2:
The system implements feedback mechanisms where intermediate results are displayed and then updated with improved transcriptions. This feedback loop allows users to see transcription progress in real-time, maintaining engagement while improving quality over time.
3Loss of time
If the system displays intermediate transcription results dynamically, then the caption latency is reduced, but the transcription accuracy may be compromised
Solution Approach 1:
The system dynamically adjusts the displayed transcription based on availability. It can display intermediate results quickly to reduce latency, then automatically update with more accurate final transcriptions. This dynamic behavior allows the system to optimize for speed when needed while maintaining accuracy when available.
Solution Approach 2:
The system performs preliminary display of transcription results before final accuracy is achieved. This preliminary action reduces latency by showing immediate results, while the system maintains the capability to correct and improve the transcription accuracy in subsequent updates.
Data Source
AI summary
An information processing method, a system, an apparatus, an electronic device and a storage medium, where the method is applied to a client, and includes: receiving a transcript and a sentence identifier of the transcript sent by a service server; reading a local sentence identifier, and when the received sentence identifier is the same as the local sentence identifier, updating a displayed caption content corresponding to the local sentence identifier with the transcript. When the received sentence identifier of the client is the same as the local sentence identifier, the displayed caption content is replaced with the received transcript.