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A text-to-speech (TTS) system converts normal language text into speech; other systems render symbolic linguistic representations like phonetic transcriptions into speech. The reverse process is speech recognition. Synthesized speech can be created by concatenating pieces of recorded speech that are stored in a database.
Lingoes offers to translate a text via a mouse-over popup, or by double-clicking the selected text. Additional tools, termed as appendices in the program, include a currency converter , weights and measure units converter and international time zones converter.
A Distant Heritage: The Growth of Free Speech in Early America. New York: New York University Press, 1995. Godwin, Mike (1998). Cyber Rights: Defending Free Speech in the Digital Age. New York: Times Books. ISBN 0-8129-2834-2. Rabban, David M. (1999). Free Speech in Its Forgotten Years, 1870–1920. New York: Cambridge University Press.
Julius is a high-performance, two-pass large vocabulary continuous speech recognition (LVCSR) decoder software for speech-related researchers and developers. Kaldi is a toolkit for speech recognition provided under the Apache licence. Mozilla DeepSpeech is developing an open-source Speech-To-Text engine based on Baidu's deep speech research paper.
Speechify. 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.
Speech recognition is at an early stage of development. Specialized devices can recognize few words and accuracy is not very high. [1] 1971–1987. Speech recognition rapidly improves, although the technology is still not commercially available. [1] 1987–2014. Speech recognition continues to improve, becomes widely available commercially, and ...
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