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  2. PlantUML - Wikipedia

    en.wikipedia.org/wiki/PlantUML

    PlantUML is an open-source tool allowing users to create diagrams from a plain text language. Besides various UML diagrams, PlantUML has support for various other software development related formats (such as Archimate, Block diagram, BPMN, C4, Computer network diagram, ERD, Gantt chart, Mind map, and WBD), as well as visualisation of JSON and YAML files.

  3. FreeTTS - Wikipedia

    en.wikipedia.org/wiki/FreeTTS

    Gnopernicus uses these in a number of places: to know when text should and should not be interrupted, to better concatenate speech, and to sequence speech in different voices. Benchmarks conducted by Sun in 2002 on Solaris showed that FreeTTS ran two to three times faster than Flite at the time.

  4. List of free electronics circuit simulators - Wikipedia

    en.wikipedia.org/wiki/List_of_free_electronics...

    List of free analog and digital electronic circuit simulators, available for Windows, macOS, Linux, and comparing against UC Berkeley SPICE. The following table is split into two groups based on whether it has a graphical visual interface or not.

  5. List of computer simulation software - Wikipedia

    en.wikipedia.org/wiki/List_of_computer...

    20-sim - bond graph-based multi-domain simulation software. Actran - finite element-based simulation software to analyze the acoustic behavior of mechanical systems and parts. ADINA - engineering simulation software for structural, fluid, heat transfer, and multiphysics problems. ACSL and acslX - an advanced continuous simulation language.

  6. Sial - Wikipedia

    en.wikipedia.org/wiki/Sial

    Because of the large pressures, over geologic time, the sima flows like a very viscous liquid, so, in a real sense, the sial floats on the sima, in isostatic equilibrium. [9] Mountains extend down as well as up, much like icebergs on the ocean; [9] so that on the continental plates, the sial runs between 5 km and 70 km deep. [10]

  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.

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