CMUSphinx- PocketSphinx

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CMUSphinx- PocketSphinx
a speaker-independent large vocabulary continuous speech recognizer for handheld and portable devices.

Sphinx is a speaker-independent large vocabulary continuous speech recognizer. It is also a collection of free and open source tools and resources that allows researchers and developers to build speech recognition systems. The packages that the CMU Sphinx Group is releasing are a set of reasonably mature, world-class speech components that provide a basic level of technology to anyone interested in creating speech-using applications without the once-prohibitive initial investment cost in research and development; the same components are open to peer review by all researchers in the field, and are used for linguistic research as well. PocketSphinx is CMU's fastest speech recognition system. It uses Hidden Markov Models (HMM) with semi-continuous output probability density functions (PDF). Even though it is not as accurate as Sphinx-3 or Sphinx-4, it runs at real time, and therefore it is a good choice for live applications. You can find further documentation about PocketSphinx in the release documentation, or at the online documentation.

Documentation and

Related Projects


LicenseVerified byVerified onNotes
X11Kelly Hopkins18 February 2009
License:BSD 2ClauseKelly Hopkins18 February 2009

Leaders and contributors

Alan W Black Maintainer
David Huggins-Daines Maintainer
Evandro Gouvêa Maintainer
Kevin Lenzo Maintainer
Mosur Ravishankar Maintainer

Resources and communication

AudienceResource typeURI
Bug TrackingBug Tracking

Software prerequisites

This entry (in part or in whole) was last reviewed on 15 September 2016.


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