Speech recognition software for Linux

As of the early 2000s, several speech recognition (SR) software packages exist for Linux. Some of them are free and open-source software and others are proprietary software. Speech recognition usually refers to software that attempts to distinguish thousands of words in a human language. Voice control may refer to software used for communicating operational commands to a computer.
Linux native speech recognition.
History.
In the late 1990s, a Linux version of ViaVoice, created by IBM, was made available to users for no charge. In 2002, the free software development kit (SDK) was removed by the developer.
Development status.
In the early 2000s, there was a push to get a high-quality Linux native speech recognition engine developed. As a result, several projects dedicated to creating Linux speech recognition programs were begun, such as Mycroft, which is similar to Microsoft Cortana, but open source.
Speech sample crowdsourcing.
It is essential to compile a speech corpus to produce acoustic models for speech recognition projects. VoxForge is a free speech corpus and acoustic model repository that was built with the aim of collecting transcribed speech to be used in speech recognition projects. VoxForge accepts crowdsourced speech samples and corrections of recognized speech sequences. It is licensed under a GNU General Public License (GPL).
Speech recognition concept.
The first step is to begin recording an audio stream on a computer. The user has two main processing options:
Remote recognition was formerly used by smartphones because they lacked sufficient performance, working memory, or storage to process speech recognition within the phone. These limits have largely been overcome although server-based SR on mobile devices remains universal.
Speech recognition in browser.
Discrete speech recognition can be performed within a web browser and works well with supported browsers. Remote SR does not require installing software on a desktop computer or mobile device as it is mainly a server-based system with the inherent security issues noted above.
Free speech recognition engines.
The following is a list of projects dedicated to implementing speech recognition in Linux, and major native solutions. These are not end-user applications. These are programming libraries that may be used to develop end-user applications.
Possibly active projects:
It is possible for developers to create Linux speech recognition software by using existing packages derived from open-source projects.
Inactive projects:
Voice control and keyboard shortcuts.
Speech recognition usually refers to software that attempts to distinguish thousands of words in a human language. Voice control may refer to software used for sending operational commands to a computer or appliance. Voice control typically requires a much smaller vocabulary and thus is much easier to implement.
Simple software combined with keyboard shortcuts, have the earliest potential for practically accurate voice control in Linux.
Running Windows speech recognition software with Linux.
Via compatibility layer.
It is possible to use programs such as Dragon NaturallySpeaking in Linux, by using Wine, though some problems may arise, depending on which version is used.
Via virtualized Windows.
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.