Difference between revisions of "CMUSphinx3"
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|Short description=a speaker-independent large vocabulary continuous speech recognizer. | |Short description=a speaker-independent large vocabulary continuous speech recognizer. | ||
|Full description=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. Sphinx-3 is CMU's state-of-the-art large vocabulary speech recognition system. It uses Hidden Markov Models (HMM) with continuous output probability density functions (PDF). It supports several modes of operation. The more accurate mode, known as the "flat decoder", is descended from the original Sphinx-3 release (still available for reference purposes at https://cmusphinx.svn.sourceforge.net/svnroot/cmusphinx/trunk/archive_s3/s3). The faster mode, known as the "tree decoder", was developed separately. The two decoders were merged in Sphinx 3.5, though the flat decoder was not fully functional until Sphinx 3.7. Further documentation can be found in the release documentation, or at the online documentation. | |Full description=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. Sphinx-3 is CMU's state-of-the-art large vocabulary speech recognition system. It uses Hidden Markov Models (HMM) with continuous output probability density functions (PDF). It supports several modes of operation. The more accurate mode, known as the "flat decoder", is descended from the original Sphinx-3 release (still available for reference purposes at https://cmusphinx.svn.sourceforge.net/svnroot/cmusphinx/trunk/archive_s3/s3). The faster mode, known as the "tree decoder", was developed separately. The two decoders were merged in Sphinx 3.5, though the flat decoder was not fully functional until Sphinx 3.7. Further documentation can be found in the release documentation, or at the online documentation. | ||
| + | |Homepage URL=http://cmusphinx.sourceforge.net/html/cmusphinx.php | ||
|User level=advanced | |User level=advanced | ||
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|Computer languages=C,Python,Perl | |Computer languages=C,Python,Perl | ||
|Documentation note=http://www.speech.cs.cmu.edu/cmusphinx/moinmoin/ and http://www.speech.cs.cmu.edu/sphinxman/ | |Documentation note=http://www.speech.cs.cmu.edu/cmusphinx/moinmoin/ and http://www.speech.cs.cmu.edu/sphinxman/ | ||
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|Related projects=CMUSphinx-_base,CMUSphinx-_Training,CMUSphinx-_PocketSphinx | |Related projects=CMUSphinx-_base,CMUSphinx-_Training,CMUSphinx-_PocketSphinx | ||
|Keywords=Perl,Python,C,speech,voice,speech analysis,Speech Processing,voice recognition,speech recognition | |Keywords=Perl,Python,C,speech,voice,speech analysis,Speech Processing,voice recognition,speech recognition | ||
| − | | | + | |Version identifier=0.8 |
| − | |Last review by= | + | |Version date=2009/01/01 |
| − | |Last review date= | + | |Version status=stable |
| + | |Version download=https://sourceforge.net/projects/cmusphinx/files/sphinx3/0.8/sphinx3-0.8.tar.bz2/download | ||
| + | |Last review by=Alejandro Hernández Petermann | ||
| + | |Last review date=2016/09/15 | ||
|Submitted by=Database conversion | |Submitted by=Database conversion | ||
|Submitted date=2011-04-01 | |Submitted date=2011-04-01 | ||
| − | | | + | |Status= |
| − | | | + | |Is GNU=No |
| − | | | + | |License verified date=2009-02-17 |
| − | | | + | }} |
| + | {{Project license | ||
| + | |License=X11 | ||
| + | |License verified by=Kelly Hopkins | ||
| + | |License verified date=2009-02-17 | ||
| + | }} | ||
| + | {{Project license | ||
| + | |License=BSD_2Clause | ||
| + | |License verified by=Kelly Hopkins | ||
|License verified date=2009-02-17 | |License verified date=2009-02-17 | ||
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}} | }} | ||
{{Person | {{Person | ||
| + | |Real name=Arthur Chan | ||
|Role=Maintainer | |Role=Maintainer | ||
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|Email=archan@cs.cmu.edu | |Email=archan@cs.cmu.edu | ||
|Resource URL= | |Resource URL= | ||
}} | }} | ||
{{Person | {{Person | ||
| + | |Real name=Evandro Gouvêa | ||
|Role=Maintainer | |Role=Maintainer | ||
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|Email=egouvea@cs.cmu.edu | |Email=egouvea@cs.cmu.edu | ||
|Resource URL= | |Resource URL= | ||
}} | }} | ||
{{Person | {{Person | ||
| + | |Real name=Mosur Ravishankar | ||
|Role=Maintainer | |Role=Maintainer | ||
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|Email=rkm@cs.cmu.edu | |Email=rkm@cs.cmu.edu | ||
|Resource URL= | |Resource URL= | ||
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{{Software category | {{Software category | ||
| − | |Interface= | + | |Interface=command-line, accessibility |
|Use=interface | |Use=interface | ||
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Revision as of 14:39, 15 September 2016
CMUSphinx3
http://cmusphinx.sourceforge.net/html/cmusphinx.php
a speaker-independent large vocabulary continuous speech recognizer.
Sphinx is a speaker-independent large vocabulary continuous speech recognizer. It is also a collection of free software 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. Sphinx-3 is CMU's state-of-the-art large vocabulary speech recognition system. It uses Hidden Markov Models (HMM) with continuous output probability density functions (PDF). It supports several modes of operation. The more accurate mode, known as the "flat decoder", is descended from the original Sphinx-3 release (still available for reference purposes at https://cmusphinx.svn.sourceforge.net/svnroot/cmusphinx/trunk/archive_s3/s3). The faster mode, known as the "tree decoder", was developed separately. The two decoders were merged in Sphinx 3.5, though the flat decoder was not fully functional until Sphinx 3.7. Further documentation can be found in the release documentation, or at the online documentation.
Download
https://sourceforge.net/projects/cmusphinx/files/sphinx3/0.8/sphinx3-0.8.tar.bz2/download
Categories
Licensing
License
Verified by
Verified on
Notes
Leaders and contributors
| Contact(s) | Role |
|---|---|
| Arthur Chan | Maintainer |
| Mosur Ravishankar | Maintainer |
| Evandro Gouvêa | Maintainer |
Resources and communication
| Audience | Resource type | URI |
|---|---|---|
| General | Forum | http://sourceforge.net/forum/forum.php?forum_id=5470 |
| Developer | Homepage | http://sourceforge.net/projects/cmusphinx |
| Bug Tracking | Bug Tracking | http://sourceforge.net/tracker/?group_id=1904&atid=101904 |
| Developer | Download | http://cmusphinx.sourceforge.net/html/download.php#sphinxbase |
| Support | Forum | http://sourceforge.net/forum/forum.php?forum_id=5471 |
Software prerequisites
Permission is granted to copy, distribute and/or modify this document under the terms of the GNU Free Documentation License, Version 1.3 or any later version published by the Free Software Foundation; with no Invariant Sections, no Front-Cover Texts, and no Back-Cover Texts. A copy of the license is included in the page “GNU Free Documentation License”.
The copyright and license notices on this page only apply to the text on this page. Any software or copyright-licenses or other similar notices described in this text has its own copyright notice and license, which can usually be found in the distribution or license text itself.