Mercurial > hg > kernscores-utf8
view jrp/README.md @ 2:1e94d64e1d9e tip
Many fixes to remove spurious notes, correct time signatures and clefs. Still some problems remain.
author | samer |
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date | Fri, 24 Apr 2015 18:19:47 +0100 |
parents | 968db103ad92 |
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# JRP Digital Scores # This repository contains digital music scores in the Humdrum data format from the [Josquin Research Project](http://josquin.stanford.edu). The primary web interface for these scores is http://josquin.stanford.edu which allows online searching and browsing, conversions into other data formats, such as MIDI and graphical notation, as well as interfaces to some online analysis tools. These scores encompass music of the early Renaissance (*c*1420 to *c*1520), mostly representing the [Franco-Flemish School](http://en.wikipedia.org/wiki/Franco-Flemish_School) and are mainly intended for computational analysis. As a result only a few works include text/lyrics suitable for vocal performance. A peculiar aspect in music of the sixteenth century (from a modern viewpoint) is an incomplete notation of accidentals needed for performance. Editorial accidentals have been added to these scores to realize the performance practice of the time. An "i" character immediately following an accidental indicates that it was not written in the original notation. When written without an "i" after it, the accidental is found in the original notation, either from the key signature, or an explicit accidental written immediately before the note. Another conceptual difference is the use of mensuration signs. These evolved (decayed) into time signatures. The most common mensuration in the music is Cut-C, from which modern cut-time originates. In this mensuration the *beat* is at the whole-note rhythmic level, and the metric cycle is two beats (a breve). Circle mensuration is the second most common mensuration in the music. This represents three whole-note beats per rhythmic cycle (dotted breve). Mensuration signs also convey tempo, so MIDI files on the [JRP](http://josquin.stanford.edu) website made from these scores typically interpret tempo from the mensuration signs in the data (with the tempo slowing down over the generations due to smaller rhythmic values becoming more common). Modern time signatures are present in the data as a result of using music notation software for data entry and are of secondary concern (notice that they are not displayed in the scores on the [JRP](http://josquin.stanford.edu) website. Barlines had not yet been invented in the fifteenth century, so all barlines in the data are interpreted; however, these are less open to interpretation compared to editorial accidentals. Typically barlines represent breves (double whole notes) durations, although they sometimes represent longs (quadruple whole notes), and may include patterns of dashed and solid lines to indicate the implied long (solid lines) and breve (dash line) metric grid of the music. All parts are encoded in modern notation that is sensitive to the original mensural notation intent of the fifteenth century. The main difference is that all rhythmic durations and augmentation dots are made explicit rather than dependent on a note's musical context. Since the original parts were not written in modern score layout during the fifteenth century (see an example of a [partbook](http://www.loc.gov/exhibits/vatican/images/music13.jpg)), mensuration changes sometimes do not occur at the same point in each part. For example, one part may have a whole note in Cut-C mensuration while another part has a dotted whole note in 3 mensuration. This is represented in the data with the same rhythmic duration in each part, usually as a whole note and a triplet dotted whole note using an ```*rscale:3/2``` interpretation in the second part to indicate that it is to be displayed with a rhythmic duration 3/2 longer (i.e., convert the triplet dotted whole note into a non-triplet dotted whole note). In mensural music (particularly in masses) the voices are sometimes notated in conflicting note values. (Colloquially we refer to a voice being "augmented" or "diminished" relative to the others.) The most common situation is for a half-note in the tenor to have the same duration as a whole-note in another part. The ```*rscale``` rhythmic-scaling interpretation will also be used in these cases. All parts in the data have a 1:1 rhythmic scaling against each other for analytic purposes. Applying the ```*rscale``` factor will cause a part to be displayed in its original rhythmic values (i.e., reverse the resolution of the autmentation/diminution). Triplet brackets are given explicitly in the data using "V" and "Z" characters (this will change in the future). Triplet brackets indicate music that was originally in colored notation, which is a mensural equivalent of triplets. Music in 3 mensuration (an alternate mensural method of showing triplets) may be represented as modern rhythmic triplets in the data, but will not contain triplet brackets. Ligatures are groups of notes with their heads attached to each other which typically gives information about the rhythm of the notes in mensural notation. Usually modern notation of mensural music will place brackets around individual notes which were originally part of a ligature group. However, ligatures are not indicated in this data. # Composers # Individual composer's works are archived independently, and each of their repositories can be viewed by clicking in the first column of the table below. Each composer is assigned a unique three-letter code listed in the first column that is the name of the directory in the meta-repository which contains each composer's works. <table> <tr><td> <a href=https://github.com/josquin-research-project/Ano>Ano</a> </td><td> Anonymous </td><td> (<a href=http://josquin.stanford.edu/#Ano>JRP</a>) </td><td> (<a href=http://en.wikipedia.org/wiki/Anonymous_work>Wikipedia</a>) </td></tr> <tr><td> <a href=https://github.com/josquin-research-project/Agr>Agr</a> </td><td> Alexander Agricola </td><td> (<a href=http://josquin.stanford.edu/#Agr>JRP</a>) </td><td> (<a href=http://en.wikipedia.org/wiki/Alexander_Agricola>Wikipedia</a>) </td></tr> <tr><td> <a href=https://github.com/josquin-research-project/Bus>Bus</a> </td><td> Antoine Busnoys </td><td> (<a href=http://josquin.stanford.edu/#Bus>JRP</a>) </td><td> (<a href=http://en.wikipedia.org/wiki/Antoine_busnoys>Wikipedia</a>) </td></tr> <tr><td> <a href=https://github.com/josquin-research-project/Com>Com</a> </td><td> Loyset Compère </td><td> (<a href=http://josquin.stanford.edu/#Com>JRP</a>) </td><td> (<a href=http://en.wikipedia.org/wiki/Loyset_Comp%C3%A8re>Wikipedia</a>) </td></tr> <tr><td> <a href=https://github.com/josquin-research-project/Duf>Duf</a> </td><td> Guillaume Du Fay </td><td> (<a href=http://josquin.stanford.edu/#Duf>JRP</a>) </td><td> (<a href=http://en.wikipedia.org/wiki/Guillaume_Du_Fay>Wikipedia</a>) </td></tr> <tr><td> <a href=https://github.com/josquin-research-project/Jap>Jap</a> </td><td> Jean Japart </td><td> (<a href=http://josquin.stanford.edu/#Jap>JRP</a>) </td><td> (<a href=http://en.wikipedia.org/wiki/Jean_Japart>Wikipedia</a>) </td></tr> <tr><td> <a href=https://github.com/josquin-research-project/Jos>Jos</a> </td><td> Josquin des Prez </td><td> (<a href=http://josquin.stanford.edu/#Jos>JRP</a>) </td><td> (<a href=http://en.wikipedia.org/wiki/Josquin_des_Prez>Wikipedia</a>) </td></tr> <tr><td> <a href=https://github.com/josquin-research-project/Mar>Mar</a> </td><td> Johannes Martini </td><td> (<a href=http://josquin.stanford.edu/#Mar>JRP</a>) </td><td> (<a href=http://en.wikipedia.org/wiki/Johannes_Martini>Wikipedia</a>) </td></tr> <tr><td> <a href=https://github.com/josquin-research-project/Mou>Mou</a> </td><td> Jean Mouton </td><td> (<a href=http://josquin.stanford.edu/#Mou>JRP</a>) </td><td> (<a href=http://en.wikipedia.org/wiki/Jean_Mouton>Wikipedia</a>) </td></tr> <tr><td> <a href=https://github.com/josquin-research-project/Obr>Obr</a> </td><td> Jacob Obrecht </td><td> (<a href=http://josquin.stanford.edu/#Obr>JRP</a>) </td><td> (<a href=http://en.wikipedia.org/wiki/Jacob_Obrecht>Wikipedia</a>) </td></tr> <tr><td> <a href=https://github.com/josquin-research-project/Ock>Ock</a> </td><td> Johannes Ockeghem </td><td> (<a href=http://josquin.stanford.edu/#Ock>JRP</a>) </td><td> (<a href=http://en.wikipedia.org/wiki/Johannes_Ockeghem>Wikipedia</a>) </td></tr> <tr><td> <a href=https://github.com/josquin-research-project/Ort>Ort</a> </td><td> Marbrianus de Orto </td><td> (<a href=http://josquin.stanford.edu/#Ort>JRP</a>) </td><td> (<a href=http://en.wikipedia.org/wiki/Marbrianus_de_Orto>Wikipedia</a>) </td></tr> <tr><td> <a href=https://github.com/josquin-research-project/Pip>Pip</a> </td><td> Matthaeus Pipelare </td><td> (<a href=http://josquin.stanford.edu/#Pip>JRP</a>) </td><td> (<a href=http://en.wikipedia.org/wiki/Matthaeus_Pipelare>Wikipedia</a>) </td></tr> <tr><td> <a href=https://github.com/josquin-research-project/Reg>Reg</a> </td><td> Johannes Regis </td><td> (<a href=http://josquin.stanford.edu/#Reg>JRP</a>) </td><td> (<a href=http://en.wikipedia.org/wiki/Johannes_Regis>Wikipedia</a>) </td></tr> <tr><td> <a href=https://github.com/josquin-research-project/Rue>Rue</a> </td><td> Pierre de la Rue </td><td> (<a href=http://josquin.stanford.edu/#Rue>JRP</a>) </td><td> (<a href=http://en.wikipedia.org/wiki/Pierre_de_la_rue>Wikipedia</a>) </td></tr> <tr><td> <a href=https://github.com/josquin-research-project/Tin>Tin</a> </td><td> Johannes Tinctoris</td><td> (<a href=http://josquin.stanford.edu/#Tin>JRP</a>) </td><td> (<a href=http://en.wikipedia.org/wiki/Johannes_Tinctoris>Wikipedia</a>) </td></tr> </table> Within each directory of the repository is a subdirectory called ```kern``` that contains the actual scores in the **kern data type of the Humdrum data file format. Currently, composers with complete (or nearly complete) sets of encoded works include: Josquin, Ockeghem, La Rue and de Orto. # Filenames # Each file in the database starts with a unique JRP catalog number. This consists of a three-letter composer ID as listed above, followed by a four-digit number to represent a specific work by that composer. Typically the first digit of the catalog number will indicate the genre of the work: 1 for masses, 2 for motets, and 3 for secular songs (see the ```!!!AGN``` reference record inside of the file for the actual genre designations). The music of Josquin is an exception, where the first two digits indicate its volume number in the New Josquin Edition, and the last two digits indicate the enumerated position of the work within that volume. After the four-digit work number, an optional letter indicates that a *movement*-level encoding of a work is found in the file. This system is used for storing mass sections in separate files, where "a" is the first section (usually the Kyrie section), "b" is the second section (usually the Gloria section), and so on. Work-level variants are indicated in the catalog number by adding a dot after the work number, followed by a variant number (of any digit length). Variants at the movement level are indicated by placing a dot after the variant letter(s) followed by a variant letter (or more than one lower-case letter). If a file contains an enumerable subsection of a movement, an optional digit will be appended to the catalog number (which may itself be followed by a dot and variant digits). Movement subsection numbers are not yet present in any datafile (and neither are Movement sub-subsections which would alternate back to letters like movement-level labels). After the catalog number, each filename contains a dash followed by title information. The title information may have up to three fixed fields, each separated by a dash from the other. The first component of the title information is the title of the work. This is optionally followed by the title of the movement (i.e., mass section names, such as the standard sections: kyrie, gloria, credo, sanctus, and agnus [dei]). A third optional section of the title in the filename is variant information. Spaces in the title are encoded as underscore characters in the filenames. Two underscores in a row indicate a slash in the title. No accent marks are given in the filename titles since they are [POSIX](http://en.wikipedia.org/wiki/POSIX) compliant; see the ```!!!OTL``` reference record within each file for the proper accentuation of work titles. Title information in filenames are a courtesy for human beings. As such they can be removed from filenames, leaving only the unique catalog numbers. (Removing catalog numbers will not result in unique filenames since a composer may write several songs with the same title). # Download # To download this Github repository using [git](http://en.wikipedia.org/wiki/Git_%29software%29) in a terminal, type: <code>git clone --recursive https://github.com/josquin-research-project/jrp-scores</code> The ```--recursive``` option is needed to download each of the individual composer repositories inside of the meta-repository. In a unix terminal, you can check to see if git is installed by typing ```which git```. If the terminal replies with a path to git, then you can proceed with the above cloning to download the repository. If not, then typically you can use a package manager to install git, such as ```apt-get install git``` or ```yum install git``` in linux. On Apple OS X computers, git can be installed directly from [here](http://git-scm.com/download/mac) or by more experienced users from a mac package manager such as [Homebrew](http://brew.sh). If you have a comicbook-like view of the computer world, you can download GUI interfaces for git [here](http://git-scm.com/downloads/guis). A [Github/git plugin](http://eclipse.github.com) is also available for the Eclipse IDE ([watch video](http://www.youtube.com/watch?v=ptK9-CNms98)). This repository cannot be downloaded in a very useful format from the ZIP link on the Github website, since the included repositories for each composer will not be included in that ZIP file. You must either use [git](http://en.wikipedia.org/wiki/Git_%29software%29) software or separately download each of the individual composer's ZIP files linked from the table above. Use [this bash script](https://gist.github.com/josquin-research-project/8177804) to download manually using wget (usually for linux & [cygwin](http://www.cygwin.com)), or [this bash script](https://gist.github.com/josquin-research-project/8177884) for OS X. # Update # After you have downloaded this repository with `git`, you can check periodically for updates for all composers' works using this command: <code> git pull --recurse-submodules<br> git submodule foreach git checkout master </code> Alternatively, the makefile in the base directory can be used to run this command: <code>make update</code> If the scores were downloaded manually with one of the two gist scripts below, you must re-download all files to check for updates. Re-run one of these two scripts using either [wget](https://gist.github.com/josquin-research-project/8177804) (linux & cygwin) or [curl](https://gist.github.com/josquin-research-project/8177884) (Apple OS X). # Processing scores # The digital scores in this repository are designed to work with the [Humdrum Toolkit](http://www.humdrum.org/Humdrum) ([github](https://github.com/kroger/humdrum)) as well as [Humdrum Extras](http://extra.humdrum.org) ([github](https://github.com/craigsapp/humextra)). A makefile in the base directory of the repository contains some basic processing commands which either require [Humdrum Extras](http://extras.humdrum.org) to manipulate the data files, or commands (starting with "web") which download data generated online by the [JRP website](http://josquin.stanford.edu). Here are some of the make commands which you can run in the base directory of the downloaded repository: <table> <tr><td width=200 colspan=2> No additional software needed: </td></tr> <tr><td><tt>make</tt></td> <td> List all of the possible make commands (i.e., this list). </tr> <tr><td><tt>make update</tt></td> <td> Download any updates to the online repository. </tr> <tr><td><tt>make clean</tt></td> <td> Delete directories of data created by this makefile, such as <tt>kern-reduced</tt>, <tt>midi</tt>, <tt>pdf</tt>, <tt>pdf-notext</tt>. </tr> <tr><td><tt>make notitle</tt></td> <td> Remove titles from files names and store in directory called kern-notitle in each composer's directory. </tr> <tr><td><tt>make web-pdf</tt></td> <td> Download PDF files for graphical music scores for each piece from the <a href=http://josquin.stanford.edu>JRP website</a>. </tr> <tr><td><tt>make web-pdf-notext</tt></td> <td> Download PDF files for graphical music scores for each piece from the <a href=http://josquin.stanford.edu>JRP website</a> with lyrics removed from all parts. </tr> <tr><td><tt>make web-reduced</tt></td> <td> Download version of the data file which divides all note durations by a factor of four. This data is useful for doing rhythmic analysis with the standard Humdrum Toolkit. </tr> <tr><td colspan=2> <a href=http://github.com/craigsapp/humextra>Humdrum Extras</a> installation required: </td></tr> <tr><td><tt>make reduced</tt></td> <td> Decrease all note durations by a factor of four. Output data will be stored in a directory called <tt>kern-reduced</tt> within each composer's directory. Similar to <tt>make web-reduced</tt>, but much faster. </tr> <tr><td><tt>make notext</tt></td> <td> Remove lyrics from all parts. Resulting data will be stored in a directory called <tt>kern-notext</tt> within each composer's directory. </tr> <tr><td><tt>make genres</tt></td> <td> Download works organized by genre from kernScores. </tr> <tr><td colspan=2> <a href=http://github.com/kroger/humdrum>Humdrum Toolkit</a> installation required: </td></tr> <tr><td><tt>make census</tt></td> <td> Run <tt>census -k</tt> on all works. </tr> </table> ### Rhythm representation considerations ### For proper rhythmic parsing in the Humdrum Toolkit, some files containing rational rhythmic values need to be diminuted by a factor of four to convert whole notes (typically the rhythmic level of a beat in the early Renaissance), into quarter notes (the typical modern rhythmic level for beats). This can be done with the [rscale](http://extras.humdrum.org/man/rscale) tool to apply a rhythmic scaling of 1/4 to all notes in all scores: <code>rscale -f 1/4 oldfile > newfile</code> A makefile in the base directory of this repository ([this one](https://github.com/josquin-research-project/jrp-scores/blob/master/Makefile) contains instructions to generate reduced rhythmic versions of all files. Type (if [Humdrum Extras](https://github.com/craigsapp/humextra) is installed): <code>make reduced</code> or if humextras is not installed, type: <code>make web-reduced</code> to download the reduced form from the JRP website ([example](http://josquin.stanford.edu/data?a=humdrumreduced&f=Jos2721-La_Bernardina)). This will create subdirectories in each composer directory named ```kern-reduced``` with the reduced rhythmic versions of the data files. ### Other example processing ### Here are some other interesting processing actions: * Determine works that include text/lyrics: <code>grep -rl '\*\*text' \*/kern/\*</code> # Alternate data access # ### JRP website ### The website http://josquin.stanford.edu is a high-level interface to these scores, but also includes lower-level access to the data, data conversions, and analytic tools using URL parameters in the web address. On the JRP website, each score has a "work info" page generated with this format: <code>http://jrp.stanford.edu/cgi-bin/jrp?a=info&f=Jos2721</code> Where ```Jos2721``` is the JRP catalog number 2721 from Josquin's collection of works, and ```info``` is the *action* being applied to the given work (file) which causes the work-info page to be displayed. A title may optionally follow the catalog number (with exact spelling of the title in the database): <code>http://jrp.stanford.edu/cgi-bin/jrp?a=info&f=Jos2721-La_Bernardina</code> A file extension can also be given (.krn in this case) but will always be ignored. Example Humdrum data file access by setting the *action* to "humdrum": <code>http://jrp.stanford.edu/cgi-bin/jrp?a=humdrum&f=Jos2721-La_Bernardina</code> Example MIDI data file access by setting the *action* to "midi": <code>http://jrp.stanford.edu/cgi-bin/jrp?a=midi&f=Jos2721-La_Bernardina</code> Example graphical music scores in PDF format with four possible styles: * Without editorial accidentals or text: <code>http://jrp.stanford.edu/cgi-bin/jrp?a=notationnoedit&f=Duf1005a-Missa_Se_la_face_ay_pale-Kyrie</code> * Without editorial accidentals but with text: <code>http://jrp.stanford.edu/cgi-bin/jrp?a=notationnoeditwithtext&f=Duf1005a-Missa_Se_la_face_ay_pale-Kyrie</code> * With editorial accidentals but without text: <code>http://jrp.stanford.edu/cgi-bin/jrp?a=notationwitheditorial&f=Duf1005a-Missa_Se_la_face_ay_pale-Kyrie</code> * With editorial accidentals and with text: <code>http://jrp.stanford.edu/cgi-bin/jrp?a=notationwitheditorialwithtext&f=Duf1005a-Missa_Se_la_face_ay_pale-Kyrie</code> Scores are generated from the original Humdrum **kern scores found in this repository for each work, so music notation in the PDF files should match exactly. Online PDF files of the scores are created using the [hum2muse](http://extra.humdrum.org/man/hum2muse) converter which translates Humdrum files into MuseData file which can then be converted into PostScript files with [muse2ps](http://muse2ps.ccarh.org). ### kernScores website ### The [kernScores](http://kern.humdrum.org) library of musical scores for analysis in the Humdrum Toolkit has a page dedicated to the JRP scores: <code>http://kern.humdrum.org/browse?l=jrp</code> ### Humdrum Extras tools/library ### The [Humdrum Extras](http://extra.humdrum.org) tools/library ([github](https://github.com/craigsapp/humextra)) contains internal knowledge for how to download the digital scores on the command line. To download from the JRP website, the filename is prefixed by ```jrp://```. To download from the kernScores website, the prefix is ```humdrum://```, or ```h://``` for short. KernScores access requires the exact file name (catalog number, title, file extension), while JRP access requires only the catalog number. Examples: <code>humcat h://jrp/Jos/Jos2721-La_Bernardina.krn<br> humcat jrp://Jos2721-La_Bernardina.krn<br> humcat jrp://Jos2721</code> Since it requires the full filename for accessing individual files, the kernScores downloading method is instead mostly useful for downloading an entire set of composer's works. Try the following humextra command to download all of the works for Ockeghem: <code>mkdir Ock; cd Ock; humsplit h://jrp/Ock</code> The kernScores website has five meta-collections of the scores: two for Josquin authenticity levels, and three for the main genres of mass, motet and song. These can be downloaded like this on the command line: <table> <tr> <td> Secure Josquin set: </td><td> <code>mkdir -p Joa/kern; (cd Joa/kern; humsplit h://jrp/Joa)</code> </td></tr><tr><td> Not secure Josquin set: </td><td> <code>mkdir -p Job/kern; (cd Job/kern; humsplit h://jrp/Job)</code> </td></tr><tr><td> All mass sections: </td><td> <code>mkdir -p Zma/kern; (cd Zma/kern; humsplit h://jrp/Zma)</code> </td></tr><tr><td> All motets: </td><td> <code>mkdir -p Zmo/kern; (cd Zmo/kern; humsplit h://jrp/Zmo)</code> </td></tr><tr><td> All songs: </td><td> <code>mkdir -p Zso/kern; (cd Zso/kern; humsplit h://jrp/Zso)</code> </td></tr> </table> Type ```make genres``` in the base directory of the repository if [Humdrum Extras](https://github.com/craigsapp/humextras) is installed to download the Zma, Zmo, and Zso genre groupings from the kernScores website. Type ```make Joa; make Job``` in the base directory of the repository if [Humdrum Extras](https://github.com/craigsapp/humextras) is installed to download the secure and not secure groupings of Josquin music.