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FreeTTS is an open source speech synthesis system written entirely in the Java programming language. It is based upon Flite. FreeTTS is an implementation of Sun 's Java Speech API . FreeTTS supports end-of-speech markers. Gnopernicus uses these in a number of places: to know when text should and should not be interrupted, to better concatenate ...
e. 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 (vocoder). Deep neural networks (DNN) are trained using a large amount of recorded speech and, in the case of a text-to-speech system, the associated labels and/or input text.
15.ai is a non-commercial freeware artificial intelligence web application that generates natural emotive high-fidelity [a] text-to-speech voices from an assortment of fictional characters from a variety of media sources.
Speech synthesis is the artificial production of human speech. A computer system used for this purpose is called a speech synthesizer, and can be implemented in software or hardware products. A text-to-speech ( TTS) system converts normal language text into speech; other systems render symbolic linguistic representations like phonetic ...
NeoSpeech. NeoSpeech Inc. is an American company that specializes in text-to-speech (TTS) software for embedded devices, mobile, desktop, and network/server applications. NeoSpeech was founded by two speech engineers, Lin Chase and Yoon Kim, in Fremont, California, US, in 2002. NeoSpeech is privately held, headquartered in Santa Clara, California .
Speechify is a mobile, chrome extension and desktop app that reads text aloud using a computer-generated text to speech voice. [1] [2] [3] The app also uses optical character recognition technology to turn physical books or printed text into audio. [4] [5] The app lets users take photos of text and then listen to it read out loud.
The Festival Speech Synthesis System is a general multi-lingual speech synthesis system originally developed by Alan W. Black, Paul Taylor and Richard Caley [1] at the Centre for Speech Technology Research (CSTR) at the University of Edinburgh. Substantial contributions have also been provided by Carnegie Mellon University and other sites.
The first version of SAPI was released in 1995, and was supported on Windows 95 and Windows NT 3.51.This version included low-level Direct Speech Recognition and Direct Text To Speech APIs which applications could use to directly control engines, as well as simplified 'higher-level' Voice Command and Voice Talk APIs.
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