Difference between revisions of "Software"

From rosp
(Automatic speech recognition)
(Automatic speech recognition)
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|aligment, lattice rescoring, SCRF rescoring (using SCARF) [http://www.esat.kuleuven.be/psi/spraak/cgi-bin/get_file.cgi?/krisdm/icassp11/scarf/paper_scarf.pdf&auto&kd:icassp11b], phone lattice rescoring [http://www.esat.kuleuven.be/psi/spraak/cgi-bin/get_file.cgi?/duchato/eurospeech09/flavor.pdf&auto&jd:intersp09]
 
|aligment, lattice rescoring, SCRF rescoring (using SCARF) [http://www.esat.kuleuven.be/psi/spraak/cgi-bin/get_file.cgi?/krisdm/icassp11/scarf/paper_scarf.pdf&auto&kd:icassp11b], phone lattice rescoring [http://www.esat.kuleuven.be/psi/spraak/cgi-bin/get_file.cgi?/duchato/eurospeech09/flavor.pdf&auto&jd:intersp09]
 
|Viterbi
 
|Viterbi
|{{yes|Yes}}
+
|{{yes|Yes}
 
|[http://www.spraak.org/documentation/doxygen/doc/html/spr__mdt__example.html AURORA4], [http://www.esat.kuleuven.be/psi/spraak/cgi-bin/get_file.cgi?/krisdm/intersp10/mb_vs_fe.pdf&auto&kd:intersp10]
 
|[http://www.spraak.org/documentation/doxygen/doc/html/spr__mdt__example.html AURORA4], [http://www.esat.kuleuven.be/psi/spraak/cgi-bin/get_file.cgi?/krisdm/intersp10/mb_vs_fe.pdf&auto&kd:intersp10]
 
|-
 
|-
!Spraak
+
!RWTH
|2008-* (1.1.374)
+
|2001-* (0.6.1)
 
|{{yes|Yes}}
 
|{{yes|Yes}}
 
|{{no|[http://www.spraak.org/obtaining-spraak/license proprietary]}}
 
|{{no|[http://www.spraak.org/obtaining-spraak/license proprietary]}}

Revision as of 19:58, 17 November 2014

This page provides software grouped by application.

Automatic speech recognition

ASR engines General attributes Programming Implemented ASR techniques Reproducible research
release / update actively developed licence platforms links extensions language hardware optimization VAD acoustic features feature normalization / compensation acoustic models model adaptation / compensation decoding techniques training techniques online ASR robust ASR training recipes reproducible results
CMU Sphinx 1986-* (Sphinx 4.1.0, pocketsphinx 0.8) Yes BSD-like Windows, Linux, OSX (Sphinx4) / Raspberry-pi, iPhone, Android (pocketsphinx) website

paper paper mail-list forum github

Java (Sphinx4), C (pocketsphinx) No Yes MFCC, PLP CMN, Mel-Spectrum subtraction GMM, Streams MLLR, MAP aligment, N-best, lattice rescoring Baum-Welch Yes AURORA4 (WSJ0)
HTK 1993-2009 (3.4.1) Yes proprietary Windows, Linux, OSX website

book mail-list

official, ATK, FE uncertainty decoding C No Yes MFCC, PLP VTLN, CMN GMM (Full Cov.), Tied-Mix, Streams HLDA, MLLR (w/ reg. trees), CMLR (w/ adaptive training), MAP aligment, N-best, lattice rescoring Baum-Welch, MMI, MPE, MWE Yes AURORA2 (purch.) AURORA3 (purch.), AURORA4 (WSJ0), CHIME-1, CHIME-2-I, CHIME-2-II,REVERB ETSI-AFE-AURORA2 paper (see AURORA2 purch.)
Kaldi 2009-* (continous updates) Yes Apache 2.0 Windows (not mantained as of 2014), Linux, OSX website

paper mail-list forum SVN

C++ BLAS, LAPACK, GPU (for DNNs) Yes MFCC, PLP VTLN, CMVN GMM (Full Cov.), SGMM, DNN HLDA, STC, MLLT, MLLR, CMLLR (w/ reg. trees), Exponential transform aligment, N-best, lattice rescoring (using OpenFST) Baum-Welch, MMI (boosted), MC, feature-based Yes AURORA4 (WSJ0), CHIME-2 Weniger2014-REVERB Paper Code
Spraak 2008-* (1.1.374) Yes proprietary Windows (limited), Linux, OSX website

paper mail-list forum SVN

Missing Data Techniques (MDT) C, Python No Yes Flexible preprocessing script language -- examples for MFCC, PLP VTLN,CMN, MIDA, MDT Techniques, Parametric HistEq [1], Noise normalization [2] GMM (Tied-Mix), Exemplar based [3], NN, CRF, ... (flexible using the preprocessing script) [4] CMLLR, eigenvoices, GMM-weight based (NMF) [5] -- (all have Matlab dependencies); MAP aligment, lattice rescoring, SCRF rescoring (using SCARF) [6], phone lattice rescoring [7] Viterbi Yes} AURORA4, [8]
RWTH 2001-* (0.6.1) Yes proprietary Windows (limited), Linux, OSX website

paper mail-list forum SVN

Missing Data Techniques (MDT) C, Python No Yes Flexible preprocessing script language -- examples for MFCC, PLP VTLN,CMN, MIDA, MDT Techniques, Parametric HistEq [9], Noise normalization [10] GMM (Tied-Mix), Exemplar based [11], NN, CRF, ... (flexible using the preprocessing script) [12] CMLLR, eigenvoices, GMM-weight based (NMF) [13] -- (all have Matlab dependencies); MAP aligment, lattice rescoring, SCRF rescoring (using SCARF) [14], phone lattice rescoring [15] Viterbi Yes AURORA4, [16]

Speaker identification and verification

Speech enhancement and separation

Other applications

Contribute software

To contribute new software, please

  • create an account and login
  • go to the wiki page above corresponding to your application; if it does not exist yet, you may create it
  • click on the "Edit" link at the top of the page and add a new section for your software (software is ordered by year of the latest version)
  • click on the "Save page" link at the bottom of the page to save your modifications

Please make sure to provide the following information:

  • name of the software and year of the latest version
  • authors, institution, contact information
  • link to the software, ideally including a short demo, and to the external libraries needed
  • short description (functionalities, inputs and outputs, programming language, operating system, license, etc) and link to a paper/report describing the software, if any
  • whether running on well-known baselines (Aurora-2, Aurora-4, Switchboard, CHiME, etc) is included or requires wrapping by the user

In order to save storage space, please do not upload the software on this wiki, but link it as much as possible from a public repository (e.g., bitbucket, github, sourceforge) or from a stable URL on the website of your institution. If this is not possible, please contact the resources sharing working group.