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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.
Dr. Sbaitso was distributed with various sound cards manufactured by Creative Technology in the early 1990s. The text-to-speech engine used is a version of Monologue, which was developed by First Byte Software. [2] Monologue is a later release of First Byte's "SmoothTalker" software from 1984. [3]
Speech synthesis includes text-to-speech, which aims to transform the text into acceptable and natural speech in real-time, [33] making the speech sound in line with the text input, using the rules of linguistic description of the text. A classical system of this type consists of three modules: a text analysis model, an acoustic model, and a ...
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.
Conversion between different audio file formats, or between different sound quality levels. Typically these tasks can be performed in a manner that is non-linear. Audio editors may process the audio data non-destructively in real-time, or destructively as an "off-line" process, or a hybrid with some real-time effects and some offline effects.
SN76477 "complex sound generator" is a sound chip produced by Texas Instruments (TI). The chip came to market in 1978, [1] and TI ceased production of the part. [when?] A compatible version is identified as ICS76477. [2] The chip is typically used as a sound effects generator in arcade games and toys and for hobby projects. The use of the ...