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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 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.

  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. Best hearing aids for seniors in 2024, according to experts ...

    www.aol.com/lifestyle/hearing-aids-for-seniors...

    The best hearing aids can improve the ability to hear and filter background noise for clearer communication in loud environments. ... older adults at high risk of dementia can experience a nearly ...

  6. ElevenLabs - Wikipedia

    en.wikipedia.org/wiki/ElevenLabs

    The feature is capable of preserving the speaker's original voice, emotions, and intonation, by employing proprietary methods to handle tasks like noise removal, speaker differentiation, transcription, and synchronization of translated speech with the original audio. [19] In May 2024, ElevenLabs launched a text-to-music model. [20]

  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]