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eSpeak is a free and open-source, cross-platform, compact, software speech synthesizer.It uses a formant synthesis method, providing many languages in a relatively small file size. eSpeakNG (Next Generation) is a continuation of the original developer's project with more feedback from native speakers.
Google Translate produces approximations across languages of multiple forms of text and media, including text, speech, websites, or text on display in still or live video images. [ 23 ] [ 24 ] For some languages, Google Translate can synthesize speech from text, [ 25 ] and in certain pairs it is possible to highlight specific corresponding ...
Gnopernicus uses these in a number of places: to know when text should and should not be interrupted, to better concatenate speech, and to sequence speech in different voices. Benchmarks conducted by Sun in 2002 on Solaris showed that FreeTTS ran two to three times faster than Flite at the time.
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.
Speech Recognition & Synthesis, formerly known as Speech Services, [3] is a screen reader application developed by Google for its Android operating system. It powers applications to read aloud (speak) the text on the screen, with support for many languages.
The Weymouth New Testament ("WNT"), otherwise known as The New Testament in Modern Speech or The Modern Speech New Testament, is a translation of the New Testament into nineteenth-century English by Richard Francis Weymouth. It was based on the text of The Resultant Greek Testament. The text was produced by Weymouth.
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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.
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