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  2. 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 ...

  3. Noise reduction - Wikipedia

    en.wikipedia.org/wiki/Noise_reduction

    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.

  4. Bitcrusher - Wikipedia

    en.wikipedia.org/wiki/Bitcrusher

    A Bitcrusher is an audio effect that produces distortion by reducing the resolution or bandwidth of digital audio data. The resulting quantization noise may produce a "warmer" sound impression, or a harsh one, depending on the amount of reduction.

  5. Exciter (effect) - Wikipedia

    en.wikipedia.org/wiki/Exciter_(effect)

    An exciter (also called a harmonic exciter or aural exciter) is an audio signal processing technique used to enhance a signal by dynamic equalization, phase manipulation, harmonic synthesis of (usually) high frequency signals, and through the addition of subtle harmonic distortion.

  6. Nvidia Unveils Fugatto: AI Tool That Transforms Sound ...

    www.aol.com/finance/nvidia-unveils-fugatto-ai...

    Nvidia Corp (NASDAQ:NVDA) showcased a groundbreaking generative AI model named Fugatto. This model is designed as a versatile tool for creating and modifying sounds using text and audio prompts.

  7. Dither - Wikipedia

    en.wikipedia.org/wiki/Dither

    The field of audio is a primary example of this. The human ear functions much like a Fourier transform, wherein it hears individual frequencies. [9] [10] The ear is therefore very sensitive to distortion, or additional frequency content, but far less sensitive to additional random noise at all frequencies such as found in a dithered signal.

  8. Why AI-generated audio is so hard to detect - AOL

    www.aol.com/news/why-ai-generated-audio-hard...

    While dozens of tools and products have popped up to try to detect AI-generated audio, those programs are inherently limited, experts told NBC News, and won’t provide a surefire way for anyone ...

  9. Ilya Sutskever hired him to create ChatGPT’s voice at OpenAI ...

    www.aol.com/finance/ilya-sutskever-hired-him...

    An audio LLM for teaching, for example, could understand when a student is frustrated and could, in turn, become even more patient. In fact, keeping the focus on the power of AI and voice is why ...

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