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  2. 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.

  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. 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. 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. Adobe Enhanced Speech - Wikipedia

    en.wikipedia.org/wiki/Adobe_Enhanced_Speech

    Adobe Enhanced Speech is an online artificial intelligence software tool by Adobe that aims to significantly improve the quality of recorded speech that may be badly muffled, reverberated, full of artifacts, tinny, etc. and convert it to a studio-grade, professional level, regardless of the initial input's clarity. [1]

  7. Background noise - Wikipedia

    en.wikipedia.org/wiki/Background_noise

    Background noise is an important concept in setting noise levels. Background noises include environmental noises such as water waves, traffic noise, alarms, extraneous speech, bioacoustic noise from animals, and electrical noise from devices such as refrigerators, air conditioning, power supplies, and motors. The prevention or reduction of ...

  8. Anisotropic diffusion - Wikipedia

    en.wikipedia.org/wiki/Anisotropic_diffusion

    Hence the edges are preserved while removing noise from the image. Along the same lines as noise removal, anisotropic diffusion can be used in edge detection algorithms. By running the diffusion with an edge seeking diffusion coefficient for a certain number of iterations, the image can be evolved towards a piecewise constant image with the ...

  9. List of built-in macOS apps - Wikipedia

    en.wikipedia.org/wiki/List_of_built-in_macOS_apps

    Saved voice memos can be shared as a .m4a file or can be edited, which allows parts of a recording to be replaced, background noise to be removed, or the length of a recording to be trimmed. [42] Other playback options include the ability to change playback speed, skip silent parts of a memo, or enhance a recording.

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