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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.
Documentationhttp://www.speech.cs.cmu.edu/cmusphinx/moinmoin/ and http://www.speech.cs.cmu.edu/sphinxman/
released on 23 February 2016
18 February 2009
18 February 2009
Leaders and contributors
|Alan W Black||Maintainer|
Resources and communication
|Bug Tracking||Bug Tracking||http://sourceforge.net/tracker/?group_id=1904&atid=101904|
This entry (in part or in whole) was last reviewed on 15 September 2016.
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