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2. Speech synthesis - Wikipedia

   en.wikipedia.org/wiki/Speech_synthesis

   This is an accepted version of this page This is the latest accepted revision, reviewed on 31 January 2025. Artificial production of human speech Automatic announcement A synthetic voice announcing an arriving train in Sweden. Problems playing this file? See media help. Speech synthesis is the artificial production of human speech. A computer system used for this purpose is called a speech ...

3. Speech recognition - Wikipedia

   en.wikipedia.org/wiki/Speech_recognition

   Speech recognition is an interdisciplinary subfield of computer science and computational linguistics that develops methodologies and technologies that enable the recognition and translation of spoken language into text by computers.

4. Speech-generating device - Wikipedia

   en.wikipedia.org/wiki/Speech-generating_device

   Stephen Hawking (1942–2018), astrophysicist and prominent SGD user. Speech-generating devices (SGDs), also known as voice output communication aids, are electronic augmentative and alternative communication (AAC) systems used to supplement or replace speech or writing for individuals with severe speech impairments, enabling them to verbally communicate. [1]

5. Could aerobic exercise help fight Alzheimer's disease? - AOL

   www.aol.com/could-aerobic-exercise-help-fight...

   Exercise may positively influence the interactions between brain cells in the hippocampus, a brain region involved in learning and memory, a study in rats suggests, shedding light on why physical ...

6. Voice (grammar) - Wikipedia

   en.wikipedia.org/wiki/Voice_(grammar)

   The active voice is the most commonly used in many languages and represents the "normal" case, in which the subject of the verb is the agent. In the active voice, the subject of the sentence performs the action or causes the happening denoted by the verb.

7. Text-to-video model - Wikipedia

   en.wikipedia.org/wiki/Text-to-video_model

   There are several architectures that have been used to create Text-to-Video models. Similar to Text-to-Image models, these models can be trained using Recurrent Neural Networks (RNNs) such as long short-term memory (LSTM) networks, which has been used for Pixel Transformation Models and Stochastic Video Generation Models, which aid in consistency and realism respectively. [31]