One-page reference: classical vs neural suppression, the four named approaches (WebRTC NS, RNNoise, Krisp, NVIDIA noise removal), the choose-by-use-case table, the voice-vs-noise aggressiveness trade-off with a worked SNR example, and the ITU-T P.835 SIG/BAK/OVRL metric.
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The book · Volume 4 of 7
Audio for Video: A Complete Guide to Sound in Video Products: From PCM and Codecs to Loudness, Accessibility, and Real-Time Voice Processing
This noise suppression decision sheet compares classical and neural approaches, from WebRTC NS and RNNoise to Krisp and NVIDIA, with a use-case table and the P.835 metrics. Volume 4 covers this topic in depth: real-time voice processing with noise suppression, echo cancellation, AGC and VAD, plus sampling, codecs and loudness that shape how a cleaned voice reaches the listener. Written by Nikolay Sapunov, CEO at Fora Soft.
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