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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. Video denoising - Wikipedia

    en.wikipedia.org/wiki/Video_denoising

    Video denoising is the process of removing noise from a video signal. Video denoising methods can be divided into: Video denoising methods can be divided into: Spatial video denoising methods, where image noise reduction is applied to each frame individually.

  4. 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.

  5. 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 ...

  6. Noise (signal processing) - Wikipedia

    en.wikipedia.org/wiki/Noise_(signal_processing)

    Background noise, due to spurious sounds during signal capture; Comfort noise, added to voice communications to fill silent gaps; Electromagnetically induced noise, audible noise due to electromagnetic vibrations in systems involving electromagnetic fields; Noise (video), such as "snow" Noise (radio), such as "static", in radio transmissions

  7. 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).

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