gnu: Add kaldi-gstreamer-server.
* gnu/packages/machine-learning.scm (kaldi-gstreamer-server): New variable.
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@ -61,6 +61,7 @@
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#:use-module (gnu packages perl)
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#:use-module (gnu packages pkg-config)
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#:use-module (gnu packages python)
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#:use-module (gnu packages python-web)
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#:use-module (gnu packages python-xyz)
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#:use-module (gnu packages statistics)
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#:use-module (gnu packages swig)
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@ -1114,3 +1115,96 @@ Kaldi's @code{SingleUtteranceNnet2Decoder}. It requires iVector-adapted DNN
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acoustic models. The iVectors are adapted to the current audio stream
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automatically.")
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(license license:asl2.0))))
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(define-public kaldi-gstreamer-server
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(let ((commit "1735ba49c5dc0ebfc184e45105fc600cd9f1f508")
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(revision "1"))
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(package
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(name "kaldi-gstreamer-server")
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(version (git-version "0" revision commit))
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(source (origin
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(method git-fetch)
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(uri (git-reference
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(url "https://github.com/alumae/kaldi-gstreamer-server.git")
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(commit commit)))
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(file-name (git-file-name name version))
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(sha256
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(base32
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"0j701m7lbwmzqxsfanj882v7881hrbmpqybbczbxqpcbg8q34w0k"))))
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(build-system gnu-build-system)
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(arguments
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`(#:tests? #f ; there are no tests that can be run automatically
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#:modules ((guix build utils)
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(guix build gnu-build-system)
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(srfi srfi-26))
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#:phases
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(modify-phases %standard-phases
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(delete 'configure)
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(replace 'build
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(lambda* (#:key outputs #:allow-other-keys)
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;; Disable hash randomization to ensure the generated .pycs
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;; are reproducible.
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(setenv "PYTHONHASHSEED" "0")
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(with-directory-excursion "kaldigstserver"
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(for-each (lambda (file)
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(apply invoke
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`("python"
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"-m" "compileall"
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"-f" ; force rebuild
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,file)))
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(find-files "." "\\.py$")))
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#t))
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(replace 'install
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(lambda* (#:key inputs outputs #:allow-other-keys)
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(let* ((out (assoc-ref outputs "out"))
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(bin (string-append out "/bin"))
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(share (string-append out "/share/kaldi-gstreamer-server/")))
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;; Install Python files
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(with-directory-excursion "kaldigstserver"
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(for-each (cut install-file <> share)
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(find-files "." ".*")))
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;; Install sample configuration files
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(for-each (cut install-file <> share)
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(find-files "." "\\.yaml"))
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;; Install executables
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(mkdir-p bin)
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(let* ((server (string-append bin "/kaldi-gst-server"))
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(client (string-append bin "/kaldi-gst-client"))
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(worker (string-append bin "/kaldi-gst-worker"))
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(PYTHONPATH (getenv "PYTHONPATH"))
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(GST_PLUGIN_PATH (string-append
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(assoc-ref inputs "gst-kaldi-nnet2-online")
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"/lib/gstreamer-1.0:${GST_PLUGIN_PATH}"))
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(wrap (lambda (wrapper what)
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(with-output-to-file wrapper
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(lambda _
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(format #t
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"#!~a
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export PYTHONPATH=~a
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export GST_PLUGIN_PATH=~a
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exec ~a ~a/~a \"$@\"~%"
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(which "bash") PYTHONPATH GST_PLUGIN_PATH
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(which "python") share what)))
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(chmod wrapper #o555))))
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(for-each wrap
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(list server client worker)
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(list "master_server.py"
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"client.py"
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"worker.py")))
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#t))))))
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(inputs
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`(("gst-kaldi-nnet2-online" ,gst-kaldi-nnet2-online)
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("python2" ,python-2)
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("python2-futures" ,python2-futures)
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("python2-pygobject" ,python2-pygobject)
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("python2-pyyaml" ,python2-pyyaml)
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("python2-tornado" ,python2-tornado)
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("python2-ws4py" ,python2-ws4py-for-kaldi-gstreamer-server)))
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(home-page "https://github.com/alumae/kaldi-gstreamer-server")
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(synopsis "Real-time full-duplex speech recognition server")
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(description "This is a real-time full-duplex speech recognition server,
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based on the Kaldi toolkit and the GStreamer framework and implemented in
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Python.")
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(license license:bsd-2))))
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