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Dragon NaturallySpeaking uses a minimal user interface. As an example, dictated words appear in a floating tooltip as they are spoken (though there is an option to suppress this display to increase speed), and when the speaker pauses, the program transcribes the words into the active window at the location of the cursor.
In Minesweeper for Windows Vista and 7, the game comes with an alternate "Flower Garden" style, alongside the default "Minesweeper" style. [13] This is due to controversy over the original land mine theme of the game being potentially insensitive, and the "Flower Garden" style was used as the default theme in "sensitive areas".
The ROMs of the game and its sequel were formerly offered by the owner Randel Reiss for free download. In 2021, however, the rights to both games were purchased by Piko Interactive, leding the download links for the ROMs to disappear from Technopop's website, [121] but they are still available for free download on Zophar's Domain.
Janet MacIver Baker is an American computer scientist, neuroscientist and entrepreneur. Along with her husband James K. Baker, they founded Dragon Systems and are together credited with the creation of Dragon NaturallySpeaking.
Along with his wife Janet M. Baker, they co-founded the Dragon Systems and together credited with the creation of Dragon NaturallySpeaking. [ 1 ] James Baker is an expert in speech recognition technology and a Distinguished Career Professor at Carnegie Mellon University .
The older program, DragonDictate, was originally developed by Dragon Systems for Microsoft Windows, and was replaced by Dragon NaturallySpeaking for Windows. It was later acquired by Nuance Communications. Dragon Dictate for Mac 2.0 (originally named MacSpeech Dictate [1]) is supported only on Mac OS X 10.6 (Snow Leopard).
• Internet Explorer 7+ • 512 MB free hard disk space • High speed Internet connection • 266 MHz or faster computer processor • Windows 7, Windows 8, Windows 8.1, Windows 10 • 1024 x 768 or higher screen resolution
It is also possible to use Windows speech recognition software under Linux. Using no-cost virtualization software, it is possible to run Windows and NaturallySpeaking under Linux. VMware Server or VirtualBox support copy and paste to/from a virtual machine, making dictated text easily transferable to/from the virtual machine.