RNNoise and DeepFilterNet: Key Facts and What to Test on a Device Board

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The source notes that neither RNNoise nor DeepFilterNet publishes a microcontroller-class cost, so developers must measure it on their own hardware. The RNNoise paper targets real-time 48 kHz operation on a low-power processor, while DeepFilterNet2 reports a 0.04 real-time factor on a notebook Core-i5 CPU. One preprint found that original noisy audio produced lower semantic word error than enhanced audio across all 40 tested configurations, though this is a single study. The article stresses that a neural denoiser must fit the chip and be checked for its effect on downstream speech recognition. It also flags that both tools assume 48 kHz audio and that no latency figure is published, so these must be measured on the full processing path.

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