Automatic Captioning Technology Principles and Performance Details
VEED.IO's automatic subtitling technology relies on a large-scale speech recognition model trained by deep neural networks. The workflow of the system includes four key stages: audio signal processing, speech feature extraction, language modeling and text post-processing. The system can be realized under ideal audio conditions (signal-to-noise ratio > 20dB and normal speech rate):
- English recognition accuracy: 94.2%
- Chinese Mandarin Accuracy: 91.5%
- Accuracy in Spanish: 93.71 TP3T
The platform supports subtitle generation in more than 100 languages, far exceeding the industry average. After completing the automatic generation, users can finely adjust each time point through the intuitive timeline editor, and customize the font style (supporting 200+ fonts), color configuration and text effects. Professional users can also export SRT/VTT format subtitle files, which can be seamlessly integrated with other professional editing software, greatly enhancing the efficiency of cross-border collaboration.
Compared to traditional manual captioning, the technology reduces captioning time from hourly to minute-long, saving YouTube creators, educational institutions and corporate training departments approximately 85% in captioning costs.
This answer comes from the articleVEED.IO: AI-powered platform for simple video editingThe
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