It introduces a bit of artifacts which sounds unnature but it is tolerable.įor the webrtc's ns, kHigh performs better than kModerate which can suppress the whole noise.The kLow case has a poor performance than the others. With the same input,babble_15dB.wav, we set up a contrast among RNNoise, speexdsp and webrtc_ns.In the listening test, RNNoise performs well and suppresses the noise in babble. Thses files can be found in the link TEST_CASES Performance The rnnoise and speexdsp's noise suppression test case wav files are captured from the Ns_level = kHigh || webrtc_ns_kHigh_babble_15dB.wav Ns_level = kModerate || webrtc_ns_kModerate_babble_15dB.wav Ns_level = kLow || webrtc_ns_kLow_babble_15dB.wav I have capture the main splitting filter function in order to support 32khz and 48khz.įor more details, please find and the codes. WebRtc uses AudioBuffer class to split audio date into different bands. The noise suppression process flow can be summed up as below:
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