audio/praat: Remove port
Niche use case, not aligned with broad server application needs
This commit is contained in:
@@ -300,6 +300,7 @@ audio/plasma6-plasma-pa
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audio/playgsf
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audio/pocketsphinx
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audio/polyphone
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audio/praat
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audio/prelude-lv2
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audio/psindustrializer
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audio/puddletag
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@@ -432,7 +432,6 @@
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SUBDIR += poly-lv2
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SUBDIR += portaudio
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SUBDIR += portmidi
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SUBDIR += praat
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SUBDIR += pragha
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SUBDIR += pt2-clone
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SUBDIR += pulseaudio
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@@ -1,48 +0,0 @@
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PORTNAME= praat
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DISTVERSIONPREFIX= v
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DISTVERSION= 6.4.27
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PORTREVISION= 1
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CATEGORIES= audio science
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MAINTAINER= adridg@FreeBSD.org
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COMMENT= Speech analysis tool used for doing phonetics by computer
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WWW= https://www.fon.hum.uva.nl/praat/ \
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https://github.com/praat/praat/
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LICENSE= GPLv3+
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LIB_DEPENDS= libasound.so:audio/alsa-lib \
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libharfbuzz.so:print/harfbuzz
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# These are recommended but I can't tell the difference
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RUN_DEPENDS= CharisSIL>=0:x11-fonts/charis \
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DoulosSIL>=0:x11-fonts/doulos
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USES= compiler:c++17-lang gnome iconv pkgconfig xorg
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USE_GITHUB= yes
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USE_GNOME= cairo gdkpixbuf gtk30
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USE_XORG= x11
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PLIST_FILES= bin/praat \
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share/man/man1/praat.1.gz \
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share/applications/${PORTNAME}.desktop \
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share/icons/hicolor/scalable/apps/${PORTNAME}.svg
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post-patch:
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${REINPLACE_CMD} -e 's|^CPPFLAGS =|CPPFLAGS +=|' \
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${WRKSRC}/*/Makefile \
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${WRKSRC}/external/*/Makefile
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${CP} ${WRKSRC}/makefiles/makefile.defs.freebsd.alsa \
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${WRKSRC}/makefile.defs
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@${CP} ${WRKSRC}/main/praat-480.svg \
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${WRKSRC}/praat.svg
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do-install:
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${INSTALL_PROGRAM} ${WRKSRC}/praat ${STAGEDIR}${PREFIX}/bin
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${INSTALL_MAN} ${FILESDIR}/praat.1 ${STAGEDIR}${PREFIX}/share/man/man1
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@${MKDIR} ${STAGEDIR}${PREFIX}/share/icons/hicolor/scalable/apps
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${INSTALL_DATA} ${WRKSRC}/${PORTNAME}.svg \
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${STAGEDIR}${PREFIX}/share/icons/hicolor/scalable/apps
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${INSTALL_DATA} ${WRKSRC}/main/${PORTNAME}.desktop \
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${STAGEDIR}${DESKTOPDIR}
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.include <bsd.port.mk>
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@@ -1,3 +0,0 @@
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TIMESTAMP = 1738696913
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SHA256 (praat-praat-v6.4.27_GH0.tar.gz) = af6176c0ed61297e33ca92486a1c92f62f8157bd2b9e4f1ae44ec24a4d31b706
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SIZE (praat-praat-v6.4.27_GH0.tar.gz) = 61371864
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@@ -1,39 +0,0 @@
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.TH PRAAT 1
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.SH NAME \" Section header
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.PP
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PRAAT \- Doing phonetics by computer.
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.SH SYNOPSIS
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.PP
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.nf
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.na
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praat
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.ad
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.fi
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\" Optional sections
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.SH "DESCRIPTION"
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Praat is a sophisticated graphical tool for analyzing and manipulating
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phonetic data.
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Praat supports a variety of sound file formats, and consists of tools
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to support speech analysis, labelling and segmentation, learning
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algorithms, graphing, speech synthesis, listening experiments,
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speech manipulation, and statistics. It also includes a scripting
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language to help automate the analysis process.
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For documentation, see the Help menu in praat, or visit the WEB site:
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https://www.fon.hum.uva.nl/praat/ .
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.SH "SEE ALSO"
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audacity(1)
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.SH AUTHOR
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.nf
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.na
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Paul Boersma and David Weenink
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Institute of Phonetic Sciences
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University of Amsterdam
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@@ -1,24 +0,0 @@
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Praat (the Dutch word for "talk") is a free scientific computer software
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package for the analysis of speech in phonetics.
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Praat allows you to analyze different aspects of speech including pitch,
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formant, intensity, and voice quality. You have access to spectrograms (a visual
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representation of sound changing over time) and cochleagrams (a specific type of
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spectrogram more closely resembling how the inner ear receives sound).
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Praat allows you to generate speech from a pitch curve and filters that you
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create (acoustic synthesis), or from muscle activities (articulatory synthesis).
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Praat gives you the ability to modify existing speech utterances. You can alter
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pitch, intensity, and duration of speech.
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Praat allows you to custom-label your samples using the IPA (International
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Phonetics Alphabet), and annotate your sound segments based on the particular
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variables you are seeking to analyze. Multi-language text-to-speech facilities
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allow you to segment the sound into words and phonemes.
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With Praat, you can try out Optimality-Theoretic and Harmonic-Grammar learning,
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as well as several kinds of neural-network models.
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Praat allows you to perform several statistical techniques, among which multi-
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dimensional scaling, principal component analysis, and discriminant analysis.
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