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authoryum <yum.food.vr@gmail.com>2023-02-21 13:19:43 -0800
committeryum <yum.food.vr@gmail.com>2023-02-22 21:49:29 -0800
commit9a97fbc3c583ccd518d838faaaa36ed9aa5558e1 (patch)
tree92646de70fdd4971092de3d5cf76dce79978cd8e /Scripts/generate_utils.py
parentcece1ee8f1b985c2a89adb661dd02c6d44787f67 (diff)
Begin work on C++ implementation
Use Const-me/Whisper to perform transcription. This implementation is vastly more efficient: CPU usage, memory usage, and VRAM usage are all dramatically reduced. It's slightly less accurate when comparing the same model (due to the lack of beam search decoding), but since you can use larger models, the impact is largely a wash.
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