A practical guide to optimizing the quality of subtitle transcription
When using CapsWriter-Offline for audio/video subtitle generation, both quality and speed can be achieved by the following methods:
- Preprocessing Optimization: Ensure that the audio and video files are in a standardized format (16kHz/16bit WAV audio is recommended), and use tools such as Audacity to reduce noise when there is a lot of background noise.
- Hotword Customization: Set up substitution rules (e.g., "CPU = Central Processing Unit") in hot-rule.txt for video terminology, one line for each rule.
- segmentation：对于超过1小时的视频，先用 FFmpeg 分割为小段（命令：ffmpeg -i input.mp4 -c copy -segment_time 3600 output_%03d.mp4）
- parameterization: Modify vad_threshold (default 0.5) in client_config.json to optimize the sensitivity of voice detection, the higher the value, the better the anti-noise ability but may miss the recognition of the human voice.
- hardware acceleration: If you are using an NVIDIA graphics card, you can enable CUDA acceleration (requires the corresponding version of PyTorch) to increase processing speed by 3-5 times.
Advanced tips: import the generated SRT subtitles into the subtitle editing software (such as SubtitleEdit) for the second proofreading, with the software's own spectrum display function can quickly locate and identify the location of the error.
This answer comes from the articleCapsWriter-Offline: Speech Input and Subtitle Transcription Tool for the PCThe
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