mltu
whisper-timestamped
mltu | whisper-timestamped | |
---|---|---|
1 | 2 | |
146 | 1,547 | |
- | 7.4% | |
7.1 | 8.1 | |
7 days ago | 19 days ago | |
Python | Python | |
MIT License | GNU Affero General Public License v3.0 |
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mltu
whisper-timestamped
-
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?
spokestack-python - Spokestack is a library that allows a user to easily incorporate a voice interface into any Python application with a focus on embedded systems.
pywhisper - openai/whisper + extra features
OpenSeq2Seq - Toolkit for efficient experimentation with Speech Recognition, Text2Speech and NLP
wav2vec - pure numpy implementation of wav2vec 2.0
speechbrain - A PyTorch-based Speech Toolkit
pyannote-whisper
SincNet - SincNet is a neural architecture for efficiently processing raw audio samples.
FFmpeg - Mirror of https://git.ffmpeg.org/ffmpeg.git
zeta - Build high-performance AI models with modular building blocks
filler-word-removal
balena - BALanced Execution through Natural Activation : a human-computer interaction methodology for code running.