Ads
related to: free fonts with preview text to speech generator
Search results
Results From The WOW.Com Content Network
A voice font is a computer-generated voice that can be controlled by specifying parameters such as speed and pitch and made to pronounce text input. The concept is akin to that of a text font or a MIDI instrument in the sense that the same input may easily be represented in several different ways based on the design of each font.
15.ai was a free non-commercial web application that used artificial intelligence to generate text-to-speech voices of fictional characters from popular media. [1] Created by an artificial intelligence researcher known as 15 during their time at the Massachusetts Institute of Technology, the application allowed users to make characters from video games, television shows, and movies speak ...
Overpass was initially developed for Red Hat by Delve Withrington in 2011 and had only two weights (regular and bold) with hinting for the TrueType format fonts performed by Jason Campbell. The 2015 update to version 3.0 was developed by Delve Withrington with assistance from Dave Bailey, Thomas Jockin, Alan Dague-Greene, and expert ...
Comic Sans Pro is an updated version of Comic Sans created by Terrance Weinzierl from Monotype Imaging. While retaining the original designs of the core characters, it expands the typeface by adding new italic variants, in addition to swashes, small capitals, extra ornaments and symbols including speech bubbles, onomatopoeia and dingbats, as well as text figures and other stylistic alternatives.
The FONTLIBRARY (originally called the Open Font Library) is a project devoted to hosting and encouraging the creation of fonts released under Free Licenses. [4] [5] It is a sister project to Openclipart [3] [2] [6] and hosts over 6000 fonts from over 250 contributors. [7] These are intended to be downloaded, remixed and shared freely. [8]
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.