stepanmk/FastTemporalConv
Supplementary code for the paper presented at the DAFx20in22 conference in Vienna.
This project offers optimized temporal convolutional layers and models for real-time sound manipulation. It takes audio signals as input and processes them much faster than traditional methods, allowing for immediate feedback and interaction. This is ideal for audio engineers, music producers, or researchers developing virtual instruments and effects.
No commits in the last 6 months.
Use this if you are building audio effects or virtual analog models and need very fast, real-time processing to avoid latency.
Not ideal if your primary concern is offline audio processing where real-time speed is not critical.
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C++
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Last pushed
Oct 12, 2022
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