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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. 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]

  5. 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.

  6. In 2024, artificial intelligence was all about putting AI ...

    www.aol.com/2024-artificial-intelligence-putting...

    That type of reasoning is a key part of the process of making AI tools more useful to consumers, said Vijoy Pandey, senior vice president of Cisco's innovation and incubation arm, Outshift. AI ...

  7. Whisper (speech recognition system) - Wikipedia

    en.wikipedia.org/wiki/Whisper_(speech...

    OpenAI claims that the combination of different training data used in its development has led to improved recognition of accents, background noise and jargon compared to previous approaches. [3] Whisper is a weakly-supervised deep learning acoustic model, made using an encoder-decoder transformer architecture. [1]

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