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2. Artificial intelligence content detection - Wikipedia

   en.wikipedia.org/wiki/Artificial_intelligence...

   Artificial intelligence detection software aims to determine whether some content (text, image, video or audio) was generated using artificial intelligence (AI). However, the reliability of such software is a topic of debate, [ 1 ] and there are concerns about the potential misapplication of AI detection software by educators.

3. Undetectable.ai - Wikipedia

   en.wikipedia.org/wiki/Undetectable.ai

   Undetectable AI (or Undetectable.ai) is an artificial intelligence content detection and modification software designed to identify and alter artificially generated text, such as that produced by large language models.

4. AI detector: YouTube unveils rules to identify deepfake ... - AOL

   www.aol.com/ai-detector-youtube-unveils-rules...

   YouTube's new policy concerns AI-generated content that could pass as real. "Clearly unrealistic content, such as animation or someone riding a unicorn through a fantastical world" won't require ...

5. 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.

6. MediaHuman Audio Converter - Wikipedia

   en.wikipedia.org/wiki/MediaHuman_Audio_Converter

   MediaHuman Audio Converter is able to accept many popular audio file formats, such as MP3, WMA and WAV. The software is also capable of importing files to iTunes (Music app on macOS Catalina and above [4]). [5] MediaHuman Audio Converter is designed to use multiple CPU cores when converting files in ‘batch mode’. [6]

7. Audio deepfake - Wikipedia

   en.wikipedia.org/wiki/Audio_deepfake

   In far-field detection, a microphone recording of the victim is played as a test segment on a hands-free phone. [30] On the other hand, cut-and-paste involves faking the requested sentence from a text-dependent system. [11] Text-dependent speaker verification can be used to defend against replay-based attacks.