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According to Halls, the original purpose of the moose was to make use of the Mac's Macintalk text-to-speech engine in a novel manner. A Doonesbury strip in which the characters were commented on by a talking computer provided inspiration, and Halls found that a moose head with antlers was recognizable even on low-resolution computer screens.
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 ...
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.
CereProc mined tapes and DVD commentaries featuring Ebert's voice to create a text-to-speech voice that sounded more like his own. [4] Roger Ebert used the voice in his March 2, 2010, appearance on The Oprah Winfrey Show. NFL player Steve Gleason had his voice cloned by CereProc following his diagnosis with MND.
Vyond provides its users with a library containing tens of thousands of pre-animated assets, which can be controlled through a drag & drop interface. Asset types include characters, actions, templates, props, text boxes, music tracks, and sound effects. Users can also upload their own assets, such as audio files, image files, or video files.
Text-To-Speech is highly dependent on the quality of the voice corpus used to realize the system, and creating an entire voice corpus is expensive. [citation needed] Another disadvantage is that speech synthesis systems do not recognize periods or special characters. Also, ambiguity problems are persistent, as two words written in the same way ...
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