whisper-auto-transcribe
whisper-timestamped
| whisper-auto-transcribe | whisper-timestamped | |
|---|---|---|
| 8 | 2 | |
| 195 | 1,564 | |
| - | 8.4% | |
| 6.1 | 8.1 | |
| about 1 year ago | 29 days ago | |
| Python | Python | |
| MIT License | GNU Affero General Public License v3.0 |
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whisper-auto-transcribe
- Using Whisper to transcribe the entire Forensic Files series
- Dougal Dixon's "After Man", 1990 Japanese Documentary with English Subtitles
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Whisper Auto Transcribe - An all-in-one solution for automatic transcription
Also, don't forget to check out this project on GitHub
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Whisper Auto Transcribe - An all-in-one solution for transcription
git clone --branch v3-alpha https://github.com/tomchang25/whisper-auto-transcribe.git whisper-auto-transcribe-v3
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Freeze!
I'm still hoping u/blakeo_x decides to sub the second season. Maybe someone could even implement those whisper.ai subs to help give a loose framework. Since there's not a lot of dialogue in Freeze, it would be ideal circumstances to use them.
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The Making of Godzilla (1984), Japanese Language with English Subtitles
https://github.com/tomchang25/whisper-auto-transcribe https://github.com/c0decracker/video-splitter
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The Great Escape - Episode 1
I've used Whisper Auto Transcribe, based on OpenAI-whisper, to generate subtitles for the first episode.
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I create an auto transcribe tool inspired by OpenAI latest AI project
Detail and Demo: https://github.com/tomchang25/whisper-auto-transcribe/
whisper-timestamped
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Show HN: AI Dub Tool I Made to Watch Foreign Language Videos with My 7-Year-Old
Yes. But Whisper's word-level timings are actually quite inaccurate out of the box. There are some Python libraries that mitigate that. I tested several of them. whisper-timestamped seems to be the best one. [0]
[0] https://github.com/linto-ai/whisper-timestamped
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AI-assisted removal of filler words from video recordings
whisper-timestamped, which is a layer on top of the Whisper set of models enabling us to get accurate word timestamps and include filler words in transcription output. This transcriber downloads the selected Whisper model to the machine running the demo and no third-party API keys are required.
What are some alternatives?
subgen - Autogenerate subtitles using OpenAI Whisper Model via Jellyfin, Plex, Emby, Tautulli, or Bazarr
pywhisper - openai/whisper + extra features
silero-vad - Silero VAD: pre-trained enterprise-grade Voice Activity Detector
wav2vec - pure numpy implementation of wav2vec 2.0
Transcriptify - One script that uses OpenAI to transcribe audio into text.
pyannote-whisper
subsync - Subtitle Speech Synchronizer
SincNet - SincNet is a neural architecture for efficiently processing raw audio samples.
FunASR - A Fundamental End-to-End Speech Recognition Toolkit and Open Source SOTA Pretrained Models, Supporting Speech Recognition, Voice Activity Detection, Text Post-processing etc.
FFmpeg - Mirror of https://git.ffmpeg.org/ffmpeg.git
whisper - Robust Speech Recognition via Large-Scale Weak Supervision
zeta - Build high-performance AI models with modular building blocks