Timed Text Generation Using Intermediate Audio Data
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Solution Overview
Problem
Manual transcription of timed text for web video is expensive and time-consuming, and existing technologies struggle to efficiently generate accurate captions in real-time for remote users accessing video over networks.
Innovation Solution
A computer-implemented method and system that preprocesses audio to generate intermediate timed text data, allowing for real-time caption generation when requested, using speech recognition algorithms to produce text transcriptions without storing the complete transcription, enabling automatic captioning, translation, and customization for display with video.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual transcription is used to create timed text, then accuracy and completeness of captions are improved, but cost and time consumption increase significantly
Solution Approach 1:
The system performs preliminary processing of audio files to extract intermediate timed text data before the actual caption generation is needed. This pre-processing includes analyzing audio characteristics, segmenting audio into time intervals, and preparing structural frameworks that enable rapid caption generation without requiring complete manual transcription from scratch.
Solution Approach 2:
The invention uses speech recognition technology to create automated copies of timed text that mirror manual transcription quality. The system generates synthetic caption data based on audio analysis, creating replica timed text files that can be displayed alongside video without requiring human transcribers for each caption.
2Productivity
If complete text transcription is generated in advance, then real-time caption display is enabled, but computational resources and storage requirements increase
Solution Approach 1:
The system segments the audio file into discrete time intervals and generates intermediate timed text data for each segment separately. This segmentation allows the system to process and store only the essential timing and structural information rather than complete transcriptions, reducing computational load and storage requirements while enabling real-time caption generation when needed.
Solution Approach 2:
The invention extracts only the necessary intermediate data from audio files - specifically timing information, sentence boundaries, and structural frameworks - while leaving out complete text transcriptions. This extraction creates a compressed representation that can be rapidly expanded into full captions during playback without requiring storage of the entire transcribed content.
3Measurement precision
If speech recognition algorithms process complete audio files, then accurate transcriptions are achieved, but processing time and computational cost increase
Solution Approach 1:
The system performs preliminary audio analysis to identify speaking segments, pause intervals, and temporal structures before running speech recognition. This pre-processing allows the recognition algorithms to focus only on relevant audio portions rather than processing entire files, improving both accuracy and processing speed by eliminating redundant computation during silent or non-speech periods.
Data Source
AI summary
Embodiments relate to generation of timed text in web video. In an embodiment, a computer-implemented method generates timed text for online video. In the method, a request to play a timed text track of a video incorporated into a web video service is received from a client computing device. Prior to receipt of the request, audio of the video is processed to determine intermediate timed text data. The intermediate timed text data lacks a complete text transcription of the audio, but includes data to enable the complete text transcription to be generated when playing the video. In response to receipt of the request, a text transcription of the audio is determined using the intermediate data with an automated speech-to-text algorithm. Finally, the text transcription of the audio is sent to the client computing device for display along with the video.