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<title>TaSTT.git/Scripts/whisper_requirements.txt, branch v0.8.1</title>
<subtitle>Free self-hosted STT for VRChat.</subtitle>
<id>https://git.yummers.dev/TaSTT.git/atom?h=v0.8.1</id>
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<updated>2023-02-23T05:49:29+00:00</updated>
<entry>
<title>Begin work on C++ implementation</title>
<updated>2023-02-23T05:49:29+00:00</updated>
<author>
<name>yum</name>
<email>yum.food.vr@gmail.com</email>
</author>
<published>2023-02-21T21:19:43+00:00</published>
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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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