diart
whisper-timestamped
| diart | whisper-timestamped | |
|---|---|---|
| 1 | 2 | |
| 795 | 1,513 | |
| - | 5.4% | |
| 7.6 | 8.1 | |
| 4 months ago | 12 days ago | |
| Python | Python | |
| MIT License | GNU Affero General Public License v3.0 |
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diart
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?
Lip2Speech - A pipeline to read lips and generate speech for the read content, i.e Lip to Speech Synthesis.
pywhisper - openai/whisper + extra features
wav2vec - pure numpy implementation of wav2vec 2.0
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.
speechbrain - A PyTorch-based Speech Toolkit
CPython - The Python programming language
SpeechBird - Speech Bird is a speech recognition system which makes complete hands-free computer control truly feasible, fast and accurate. Open-Source. Based on Windows Speech Recognition (WSR) and WSR Macros.