FunClip supports you to recognize and clip with commands:
# step1: Recognize
python funclip/videoclipper.py --stage 1 \
--file examples/2022云栖大会_片段.mp4 \
--output_dir ./output
# now you can find recognition results and entire SRT file in ./output/
# step2: Clip
python funclip/videoclipper.py --stage 2 \
--file examples/2022云栖大会_片段.mp4 \
--output_dir ./output \
--dest_text '我们把它跟乡村振兴去结合起来,利用我们的设计的能力' \
--start_ost 0 \
--end_ost 100 \
--output_file './output/res.mp4'FunClip is firstly open-sourced bu FunASR team, any useful PR is welcomed.
You can also scan the following DingTalk group or WeChat group QR code to join the community group for communication.
| DingTalk group | WeChat group |
|---|---|
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FunASR hopes to build a bridge between academic research and industrial applications on speech recognition. By supporting the training & finetuning of the industrial-grade speech recognition model released on ModelScope, researchers and developers can conduct research and production of speech recognition models more conveniently, and promote the development of speech recognition ecology. ASR for Fun!

