whisper-timestamped
zeta
whisper-timestamped | zeta | |
---|---|---|
2 | 1 | |
1,547 | 254 | |
7.4% | - | |
8.1 | 9.8 | |
17 days ago | 6 days ago | |
Python | Python | |
GNU Affero General Public License v3.0 | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
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.
zeta
What are some alternatives?
pywhisper - openai/whisper + extra features
petals - 🌸 Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading
wav2vec - pure numpy implementation of wav2vec 2.0
LOGICGUIDE - Plug in and Play implementation of "Certified Reasoning with Language Models" that elevates model reasoning by 40%
pyannote-whisper
speechbrain - A PyTorch-based Speech Toolkit
SincNet - SincNet is a neural architecture for efficiently processing raw audio samples.
DALLE-pytorch - Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch
FFmpeg - Mirror of https://git.ffmpeg.org/ffmpeg.git
Chinese-CLIP - Chinese version of CLIP which achieves Chinese cross-modal retrieval and representation generation.
filler-word-removal
transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.