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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.
Project Gutenberg (PG) is a volunteer effort to digitize and archive cultural works, as well as to "encourage the creation and distribution of eBooks." [2] It was founded in 1971 by American writer Michael S. Hart and is the oldest digital library. [3]
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.
This is an accepted version of this page This is the latest accepted revision, reviewed on 21 December 2024. 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 ...
Distributed Proofreaders became an official Project Gutenberg site in 2002. On 8 November 2002, Distributed Proofreaders was slashdotted, [7] [8] and more than 4,000 new members joined in one day, causing an influx of new proofreaders and software developers, which helped to increase the quantity and quality of e-text production. In July 2015 ...
Thus, to avoid crashing the e-mail system, he made the e-text available for people to download. This was the beginning of Project Gutenberg as the first digital library. Hart began posting text copies of such classics as the Bible and the works of Homer, Shakespeare, and Mark Twain. As of 1987 he had typed in a total of 313 books in this fashion.
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]
A single-speaker, Modern Standard Arabic (MSA) speech corpus with phonetic and orthographic transcripts aligned to phoneme level. Speech is orthographically and phonetically transcribed with stress marks. ~1900 Text, WAV Speech Synthesis, Speech Recognition, Corpus Alignment, Speech Therapy, Education. 2016 [134] N. Halabi Common Voice
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