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2. List of speech recognition software - Wikipedia

   en.wikipedia.org/wiki/List_of_speech_recognition...

   Braina – Dictate into third party software and websites, [3] fill web forms and execute vocal commands. [4] Dragon NaturallySpeaking from Nuance Communications – Successor to the older DragonDictate product. Focus on dictation. 64-bit Windows support since version 10.1.

3. Dragon NaturallySpeaking - Wikipedia

   en.wikipedia.org/wiki/Dragon_NaturallySpeaking

   Dragon NaturallySpeaking uses a minimal user interface. As an example, dictated words appear in a floating tooltip as they are spoken (though there is an option to suppress this display to increase speed), and when the speaker pauses, the program transcribes the words into the active window at the location of the cursor.

4. Speech recognition - Wikipedia

   en.wikipedia.org/wiki/Speech_recognition

   Speech to text (transcription of speech into text, real time video captioning, Court reporting ) Telematics (e.g. vehicle Navigation Systems) Transcription (digital speech-to-text) Video games, with Tom Clancy's EndWar and Lifeline as working examples; Virtual assistant (e.g. Apple's Siri)

5. 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.

6. OpenAI, Google, others pledge to watermark AI content for ...

   www.aol.com/news/openai-google-others-pledge...

   As part of the effort, the seven companies committed to developing a system to "watermark" all forms of content, from text, images, audios, to videos generated by AI so that users will know when ...

7. Deep learning speech synthesis - Wikipedia

   en.wikipedia.org/wiki/Deep_learning_speech_synthesis

   Deep learning speech synthesis refers to the application of deep learning models to generate natural-sounding human speech from written text (text-to-speech) or spectrum . Deep neural networks are trained using large amounts of recorded speech and, in the case of a text-to-speech system, the associated labels and/or input text.