SincNet
whisper-timestamped
SincNet | whisper-timestamped | |
---|---|---|
3 | 2 | |
1,097 | 1,513 | |
- | 5.4% | |
0.0 | 8.1 | |
about 3 years ago | 11 days ago | |
Python | Python | |
MIT License | GNU Affero General Public License v3.0 |
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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
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?
pyannote-audio - Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding
pywhisper - openai/whisper + extra features
speechbrain - A PyTorch-based Speech Toolkit
wav2vec - pure numpy implementation of wav2vec 2.0
cnnimageretrieval-pytorch - CNN Image Retrieval in PyTorch: Training and evaluating CNNs for Image Retrieval in PyTorch
pyannote-whisper
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.
FFmpeg - Mirror of https://git.ffmpeg.org/ffmpeg.git
ruptures - ruptures: change point detection in Python
zeta - Build high-performance AI models with modular building blocks
UHV-OTS-Speech - A data annotation pipeline to generate high-quality, large-scale speech datasets with machine pre-labeling and fully manual auditing.
filler-word-removal