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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.
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 ...
It is necessary to collect clean and well-structured raw audio with the transcripted text of the original speech audio sentence. Second, the Text-To-Speech model must be trained using these data to build a synthetic audio generation model. Specifically, the transcribed text with the target speaker's voice is the input of the generation model ...
Dr. Sbaitso / ˈ s b eɪ t s oʊ / SBAY-tsoh / s ə ˈ b-/ / ˈ z b-/ is an artificial intelligence speech synthesis program released late in 1991 [1] by Creative Labs in Singapore for MS-DOS-based personal computers. The name is an acronym for "SoundBlaster Acting Intelligent Text-to-Speech Operator."
Dennis H. Klatt (March 31, 1938 – December 30, 1988) was an American researcher in speech and hearing science. Klatt was the pioneer of computerized speech synthesis and created an interface which allowed for speech for non-expert users for the first time.
None of these voices match the Cortana text-to-speech voice which can be found on Windows Phone 8.1, Windows 10, and Windows 10 Mobile. In an attempt to unify its software with Windows 10 , all of Microsoft's current platforms use the same text-to-speech voices except for Microsoft David and a few others.
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