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2. Hate background noise during video calls? Krisp is the ... - AOL

   www.aol.com/hate-background-noise-during-video...

   TL;DR: Banish background noise with the Krisp AI-powered noise cancellation app. As of Aug. 5, try Krisp for free with 240 minutes per week of microphone and speaker noise removal.For obvious and ...

3. Krisp - Wikipedia

   en.wikipedia.org/wiki/Krisp

   Krisp's main product is a software application that can remove background noises and voices from audio in real-time. The software uses machine learning algorithms to analyze the audio signal and separate the speech from background noise, allowing the speech to be output in clear, noise-free audio. This technology has a wide range of ...

4. Video denoising - Wikipedia

   en.wikipedia.org/wiki/Video_denoising

   Generally, the luminance noise looks more like film grain, while chroma noise looks more unnatural or digital-like. [2] Video denoising methods are designed and tuned for specific types of noise. Typical video noise types are the following: Analog noise Radio channel artifacts High-frequency interference (dots, short horizontal color lines, etc.)

5. Median filter - Wikipedia

   en.wikipedia.org/wiki/Median_filter

   The median filter is a non-linear digital filtering technique, often used to remove noise from an image, [1] signal, [2] and video [3]. Such noise reduction is a typical pre-processing step to improve the results of later processing (for example, edge detection on an image).

6. Noise reduction - Wikipedia

   en.wikipedia.org/wiki/Noise_reduction

   Noise reduction is the process of removing noise from a signal. Noise reduction techniques exist for audio and images. Noise reduction algorithms may distort the signal to some degree. Noise rejection is the ability of a circuit to isolate an undesired signal component from the desired signal component, as with common-mode rejection ratio.

7. Audio restoration - Wikipedia

   en.wikipedia.org/wiki/Audio_restoration

   Audio restoration is the process of removing imperfections (such as hiss, impulse noise, crackle, wow and flutter, background noise, and mains hum) from sound recordings. Audio restoration can be performed directly on the recording medium (for example, washing a gramophone record with a cleansing solution), or on a digital representation of the ...