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  2. Comparison of free software for audio - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_free...

    MIDI sequencer and multi-track recorder GPL-2.0-or-later: SoX: Yes Yes Yes Yes command-line multi-track audio editor/processor LGPL-2.1-or-later, GPL-2.0-or-later. Sweep: Conrad Parker Yes No Yes No GPL-2.0-or-later: Traverso DAW: Remon Sijrier Yes Yes Yes multi-track audio recorder and editor GPL: WaveSurfer: Centre for Speech Technology at ...

  3. Adobe Voco - Wikipedia

    en.wikipedia.org/wiki/Adobe_Voco

    Adobe VoCo is an unreleased audio editing and generating prototype software by Adobe that enables novel editing and generation of audio. Dubbed "Photoshop-for-voice", [1] it was first previewed at the Adobe MAX event in November 2016.

  4. Audacity (audio editor) - Wikipedia

    en.wikipedia.org/wiki/Audacity_(audio_editor)

    Audacity is a free and open-source digital audio editor and recording application software, available for Windows, macOS, Linux, and other Unix-like operating systems. [4] [5] As of December 6, 2022, Audacity is the most popular download at FossHub, [8] with over 114.2 million downloads since March 2015.

  5. 15.ai - Wikipedia

    en.wikipedia.org/wiki/15.ai

    15.ai was a free non-commercial web application that used artificial intelligence to generate text-to-speech voices of fictional characters from popular media. [1] Created by an artificial intelligence researcher known as 15 during their time at the Massachusetts Institute of Technology, the application allowed users to make characters from video games, television shows, and movies speak ...

  6. FaceApp - Wikipedia

    en.wikipedia.org/wiki/FaceApp

    FaceApp is a photo and video editing application for iOS and Android developed by FaceApp Technology Limited, a company based in Cyprus. [1] The app generates highly realistic transformations of human faces in photographs by using neural networks based on artificial intelligence.

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  8. Audio deepfake - Wikipedia

    en.wikipedia.org/wiki/Audio_deepfake

    The second, instead, focus on higher-level features representing more complex aspects as the semantic content of the speech audio recording. A generic audio deepfake detection framework . Many machine learning models have been developed using different strategies to detect fake audio. Most of the time, these algorithms follow a three-steps ...

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