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  2. FreeTTS - Wikipedia

    en.wikipedia.org/wiki/FreeTTS

    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.

  3. RE2 (software) - Wikipedia

    en.wikipedia.org/wiki/RE2_(software)

    RE2 is a software library which implements a regular expression engine. It uses finite-state machines, in contrast to most other regular expression libraries. RE2 supports a C++ interface. RE2 was implemented by Google and Google uses RE2 for Google products. [3]

  4. Comparison of parser generators - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_parser...

    Regular languages are a category of languages (sometimes termed Chomsky Type 3) which can be matched by a state machine (more specifically, by a deterministic finite automaton or a nondeterministic finite automaton) constructed from a regular expression. In particular, a regular language can match constructs like "A follows B", "Either A or B ...

  5. Comparison of regular expression engines - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_regular...

    The primary regex crate does not allow look-around expressions. There is an Oniguruma binding called onig that does. SAP ABAP: SAP.com: Proprietary: Tcl: tcl.tk: Tcl/Tk License (BSD-style) Tcl library doubles as a regular expression library. Wolfram Language: Wolfram Research: Proprietary: usable for free on a limited scale on the Wolfram ...

  6. List of speech recognition software - Wikipedia

    en.wikipedia.org/wiki/List_of_speech_recognition...

    Tazti – Create speech command profiles to play PC games and control applications – programs. Create speech commands to open files, folders, webpages, applications. Windows 7, Windows 8 and Windows 8.1 versions. [5] Voice Finger – software that improves the Windows speech recognition system by adding several extensions to it. The software ...

  7. Deep learning speech synthesis - Wikipedia

    en.wikipedia.org/wiki/Deep_learning_speech_synthesis

    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.