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  2. Wikipedia:Spoken articles - Wikipedia

    en.wikipedia.org/wiki/Wikipedia:Spoken_articles

    This page lists recordings of Wikipedia articles being read aloud, and the year each recording was made. Articles under each subject heading are listed alphabetically (by surname for people). For help playing Ogg audio, see Help:Media. To request an article to be spoken, see Category:Spoken Wikipedia requests.

  3. Wikipedia:WikiProject Spoken Wikipedia - Wikipedia

    en.wikipedia.org/wiki/Wikipedia:WikiProject...

    Welcome to WikiProject Spoken Wikipedia. WikiProject Spoken Wikipedia aims to produce recordings of Wikipedia articles being read aloud. See the spoken articles for articles that have already been recorded, and the requests for instructions on how to request a recording of a particular article.

  4. Reading - Wikipedia

    en.wikipedia.org/wiki/Reading

    Reading is the process of taking in the sense or meaning of symbols, often specifically those of a written language, by means of sight or touch. [1] [2] [3] [4]For educators and researchers, reading is a multifaceted process involving such areas as word recognition, orthography (spelling), alphabetics, phonics, phonemic awareness, vocabulary, comprehension, fluency, and motivation.

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    mail.aol.com

    Get AOL Mail for FREE! Manage your email like never before with travel, photo & document views. Personalize your inbox with themes & tabs. You've Got Mail!

  6. Audiobook - Wikipedia

    en.wikipedia.org/wiki/Audiobook

    Founded in 2002, Bookshare is an online library of computer-read audiobooks in accessible formats for people with print disabilities. Founded in 2005, LibriVox is also an online library of downloadable audiobooks and a free non for profit organisation developed by Hugh McGuire. It has public domain audiobooks in several languages.

  7. Speech Recognition & Synthesis - Wikipedia

    en.wikipedia.org/wiki/Speech_Recognition_&_Synthesis

    Apps such as textPlus and WhatsApp use Text-to-Speech to read notifications aloud and provide voice-reply functionality. Google Cloud Text-to-Speech is powered by WaveNet, [5] software created by Google's UK-based AI subsidiary DeepMind, which was bought by Google in 2014. [6] It tries to distinguish from its competitors, Amazon and Microsoft. [7]