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FreeTTS is an open source speech synthesis system written entirely in the Java programming language. It is based upon Flite. FreeTTS is an implementation of Sun's Java Speech API. FreeTTS supports end-of-speech markers.
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 ...
Jukedeck was a website that let people use artificial intelligence to generate original, royalty-free music for use in videos. [19] [20] The team started building the music generation technology in 2010, [21] formed a company around it in 2012, [22] and launched the website publicly in 2015. [20]
Speechify is a mobile, chrome extension and desktop app that reads text aloud using a computer-generated text to speech voice. [1] [2] [3]The app also uses optical character recognition technology to turn physical books or printed text into audio which can be played in your own voice or in that of a celebrity.
Most voice synthesizers (including Apple's Siri) use concatenative synthesis, [5] in which a program stores individual phonemes and then pieces them together to form words and sentences. WaveNet synthesizes speech with human-like emphasis and inflection on syllables, phonemes, and words. Unlike most other text-to-speech systems, a WaveNet model ...
Festival Speech Synthesis System: CSTR? 2014, December MIT-like license: FreeTTS: Paul Lamere Philip Kwok Dirk Schnelle-Walka Willie Walker... 2001, December 14 2009, March 9 BSD: LumenVox: LumenVox: 2011 2019 Proprietary: Microsoft Speech API: Microsoft: 1995 2012 Bundled with Windows: VoiceText: ReadSpeaker (Formerly Neospeech) 2002 2017 ...
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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.