whisper-timestamped
SincNet
| whisper-timestamped | SincNet | |
|---|---|---|
| 2 | 3 | |
| 1,547 | 1,097 | |
| 7.4% | - | |
| 8.1 | 0.0 | |
| 18 days ago | about 3 years ago | |
| Python | Python | |
| GNU Affero General Public License v3.0 | MIT License |
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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.
SincNet
- Does this SincNet (neural architecture) contain a discriminator?
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TypeError: layer_norm(): argument 'input' (position 1) must be Tensor, not SincNet.
the sincnet class is taken from here: https://github.com/mravanelli/SincNet/blob/master/dnn_models.py
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[R][P] Announcing audax, a audio ML/DL framework in Jax
Code for https://arxiv.org/abs/1808.00158 found: https://github.com/mravanelli/SincNet
What are some alternatives?
pywhisper - openai/whisper + extra features
pyannote-audio - Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding
wav2vec - pure numpy implementation of wav2vec 2.0
speechbrain - A PyTorch-based Speech Toolkit
pyannote-whisper
cnnimageretrieval-pytorch - CNN Image Retrieval in PyTorch: Training and evaluating CNNs for Image Retrieval in PyTorch
FFmpeg - Mirror of https://git.ffmpeg.org/ffmpeg.git
Image-Forgery-Detection-CNN - Image forgery detection using convolutional neural networks. Group 10's final project for TU Delft's course CS4180 Deep Learning 2019.
zeta - Build high-performance AI models with modular building blocks
ruptures - ruptures: change point detection in Python
filler-word-removal
UHV-OTS-Speech - A data annotation pipeline to generate high-quality, large-scale speech datasets with machine pre-labeling and fully manual auditing.