Humdrum Lab 1

Bach Chorales

Download

A Humdrum edition of 4-Part Chorales by J.S. Bach is available at http://kern.ccarh.org/browse?l=chorales

The data files can be downloaded using the humcat and humsplit commands (first creating a new directory to store all of the downloaded files):

    mkdir chorales
    cd chorales
    humsplit h://chorales 

This should create 370 files in the format chor001.krn, chor002.krn, chor003.krn, etc. For OS X, you can type "cd ~/Desktop" (without the quotes) before the above three commands to make the folder called "chorales" visible on the Desktop.

Verovio Humdrum Viewer

The same chorales can be viewed on Verovio Humdrum Viewer from this link http://verovio.humdrum.org/?file=chorales&k=e

Clicking on a chorale title will load the work into the editor:

Copying data to VHV editor

You can also copy a downloaded score into the VHV editor by pasting the contents of the file into the editor. From the terminal in MacOS, you can use the pbcopy command:

    cat chor001.krn | pbcopy

And then type command-v after clicking in the text editor on the VHV website to paste the score into the editor.

Playback on the command-line

Try the humplay command to play a score from the command line:

    humplay chor146.krn

You can alternately download a particular score from the web:

   humplay h://chorales/chor146.krn

See documentation of features for humplay at http://extras.humdrum.org/man/humplay

Some commands to try:

• 4m — mute the 4th spine (soprano)
• > — speed up
• 5= — go to measure 5
• p — pause
• + — make music louder

MIDI Rendering

Loading a score into the VHV editor will allow you to press the "play" button to listen to a MIDI rendering of the score; however, more control over the conversion to a MIDI file can be done by using the `hum2mid` command.

Convert a particular chorale into a MIDI file with this command:

    hum2mid chor001.krn -o chor001.mid

The data file can also be downloaded on demand:

    hum2mid h://371chorales/chor001.krn -o chor001.mid

Once the MIDI file has been created, you can open it by double-clicking in a file browser. On OS X computers, you can type:

   open chor001.mid

to do the equivalent of double-clicking. You must have a MIDI player associated with the file. For newer OS X computers, you will have to download Quicktime 7 in order to play the MIDI file (recent versions of Quicktime cannot play MIDI files).

To pan the voices in the stereo field, try the --autopan option:

    hum2mid --autopan chor001.krn -o chor001pan.mid

To play the music with an organ sound try:

    hum2mid -f 19 chor001.krn -o chor001organ.mid

Key

Each chorale is hand-labeled with a musical key. To generate a histogram of key designations in the chorales:

  extractx -s 1 *.krn | egrep -i '\*[a-g][#-]?:' | sortcount

The regular expression "\*[a-g][#-]?:" translates into English as: find lines of text starting with "*" followed by one of the characters "a, b, c, d, e, f, g, A, B, C, D, E, F, G" then optionally one of the characters "#" or "-" followed by a colon. This is the basic structure of a key interpretation in Humdrum **kern data. An optional three-letter modal category can also be added after the colon, such as "*d:dor" for D dorian.

Questions:

1. What is the most common key?
2. What is the most common major key?
3. What is the most common minor key?
4. What is the least common major key (other than zero counts)?
5. What is the least common minor key (other than zero counts)?
6. How many chorales are labeled as being in a modal key? Such as *G:mix for G mixolydian.

Computational Key Identification

Use the keycor program to have the computer measure the key of the chorales:

   keycor chor001.krn

The computer should reply:

   The best is key G major

Compare this to the hand-labeled key:

    egrep -i '^\*[A-G][-#]?:' chor001.krn

Here is a bash for-loop which can be used to examine the key one chorale at a time:

  for i in *.krn
  do
     echo $i analysis:
     keycor $i
     extractx -s 1  $i | egrep -i '^\*[A-G][-#]?:'
     echo =====================
  done | less

Questions:

1. Find a chorale where the hand-labeled key does not match the automatically identified key.
2. Take that chorale, and run the following commands on it. Do these all give the same key analysis? Which ones give the correct answer:

  keycor  chorXXX.krn  --aa
  keycor  chorXXX.krn  --bb  
  keycor  chorXXX.krn  --kk
  keycor  chorXXX.krn  --kp
  keycor  chorXXX.krn  -s

mkeyscape

The mkeyscape program can be used to view a detailed picture of the key throughout a piece of music. The online version of the program is more convenient, plus it has an interactive display of the color-to-key mappings: http://extras.humdrum.org/online?command=mkeyscape%20-ln%20h://370chorales/chor001.krn&run=true

The above link should produce this plot of the key structure, showing it is strongly in G major, with the next strongest key region being C major for one measure (at bar 14):

To do this on the command-line with Imagemagic tools installed:

  mkeyscape -ln chor001.krn | convert - output.png

Transposition

The Humdrum Extras program transpose can be used to transpose chorales to another key with the -k option. For example, tranpose the first chorale into F♯ major:

     transpose -k F# chor001.krn | less

Also notice that the transpose tool is available as a filter in the VHV editor. Here is the chorale without transposition:

And then adding the line:

    !!!filter: transpose -k F#

which will transpose the music down a half-step:

The Humdrum Toolkit program trans calculates transpositions as well, but using a different (2D) algorithm. Using trans, it is possible to change the mode of the music. For example, here is how to convert from a major to a minor key:

 trans -d -2 chor001.krn | trans -d 2 -c 3 -k '*k[b-e-]' 

The first transposition

   trans -d -2 chor001.krn

transposes the music from G major to its relative E minor. The second transposition moves the music from E minor up to G minor. the -k option is used to force the key signature to the standard one used for G minor.

The Humdrum Toolkit tools cannot be run from VHV, but to quickly copy an altered score, add the pbcopy command to the end of the pipeline:

      trans -d -2 chor001.krn | trans -d 2 -c 3 -k '*k[b-e-]'  | pbcopy

and then paste the score into the VHV editor.

Vocal Range

To count all of the notes by pitch-class for each vocal part, use the prange command. Here is a sample command which extracts the bass part data:

  extractx -s 1 *.krn | prange

or alternatively extracting by text pattern (Bass, Tenor, Alto, Soprano):

   extractx -g Bass *.krn | prange

For the bass part, the lowest note is CC (C2) and the highest note is e (E4), with a total vocal range of 28 semitones. The average (base-12) pitch is E- (E♭3), which is both the mean and median.

Do a similar vocal range analysis on the other three parts.

Questions:

1. Which voice has the widest range?
2. What is the highest and lowest note for each vocal part?

Graphic display of range using SCORE

Try the command:

    prange *.krn --score > ranges.txt

and then load the file ranges.txt into SCORE using the G command. This should produce the following figure:

Scale Degrees

The deg command can be used to calculate the scale degree of each note if the key has been indicated. Here is a command to count how often each scale degree occurs in the chorales:

  serialize *.krn | deg -a | ridx -H | sed 's/[^1-7]//g' | sort | uniq -c 

This should produce the result:

   783
   15701 1
   11271 2
   12507 3
   10730 4
   16231 5
   9057 6
   10612 7

The sortcount program can handle sorting and counting. Here is an example with the -p option showing the relative frequency of each scale degree in the data:

  serialize *.krn | deg -a | ridx -H | sed 's/[^1-7]//g' | grep -v '^$' | sortcount -ph

**pcent	**data
18.85	5
18.23	1
14.52	3
13.09	2
12.46	4
12.32	7
10.52	6
*-	*-

The dominant (5) is the most common, and the submediant (6) is the least common.

Question:

1. Using the following template, what are the scale-degree frequencies in each part? Are there any differences?

    extractx -g Bass *krn | deg -a | ridx -H |  sed 's/[^1-7]//g' | grep -v '^$' | sortcount -ph

Melodic Intervals

Generate a list of the melodic intervals found in all voices, sorted by most common:

   serialize *.krn | mint | ridx -H | grep -v '[[]' | sortcount -p

Tritones can be notated as augmented 4ths (such as C-F♯) or diminished fifths (such as C–G♭).

    serialize *.krn | mint | ridx -H | grep A4 | wc -l
    serialize *.krn | mint | ridx -H | grep d5 | wc -l

Questions:

1. Which of these two spellings of the tritone are more common in the chorales?
2. How often do octaves (P8) occur in the chorales?
3. For the diminished fifth, what is the most common direction for the melodic interval, up or down? Here are commands to answer this question:

    serialize *.krn | mint | ridx -H | grep +d5 | wc -l
    serialize *.krn | mint | ridx -H | grep -- -d5 | wc -l

The double dash after grep in the second command indicates the end of options for grep, so that the string "-d5" is treated as the query rather than as the option -d5.

Harmony

hint

The hint command can be used to study harmonic intervals. Here is an analysis of the number of intervals found in all of the chorales:

  hint -ac *.krn | serialize -c | ridx -H | sortcount -ph

**pcent	**data
15.88	m3
15.43	P5
14.2	M3
13.42	P1
9.51	P4
8.83	M6
8.74	m6
7.04	-
2.23	M2
1.36	m7
1.35	A4
0.97	d5
0.35	m2
0.22	M7
0.16	r
0.15	d7
0.06	A2
0.05	d4
0.04	A5
0	A6
0	d1
*-	*-

The most common interval between voices is a minor 3rd (or minor 3rd plus an octave transposition) at 15.88 of the harmonic intervals. Then 15.43% for perfect 5ths and 14.2 for major thirds. The most common "dissonant" interval is a major second at 2.23% of the intervals.

tntype

The tntype program can be used to examine harmonic sonorities in the music:

tntype -a *.krn | tntype -fa | extractx -s '$1-$' | ridx -H | sortcount -ph

Here are the 13 most common harmonic sonorities that will be listed:

35.09	3-11B	{047}
17.26	3-11A	{037}
9.07	4-27B	{0368}
4.96	4-26	{0358}
4.36	3-10	{036}
4.26	3-9	{027}
2.8	4-20	{0158}
2.52	4-27A	{0258}
1.99	4-22A	{0247}
1.95	3-7A	{025}
1.73	4-23	{0257}
1.57	4-14A	{0237}
1.16	3-8A	{026}

35% of all sonorities in the chorales are major chords, which are called 3-11B ("Forte number") in set theory, with the semitone prototype {047} which would be CEG on C, or GBD on G. Minor triads are half as common at 17.26%. The most common 4-note sonority is 4-27B which would be (C, E♭, F♯, A) which is a fully-diminished seventh chord in tonal music theory.

Harmony/Melody

The cint program is a hybrid of the mint and hint programs. It examines 4-note counterpoint modules which contain two harmonic and two melodic intervals.

cint *.krn --raw -to | sortcount -ph | less

Here are all of the counterpoint modules which occur with a frequency of greater than 1%:

**pcent **data
2.33    5 -2 1 6
2.23    6 2 1 5
1.91    3 -2 1 4
1.89    4 -2 1 5
1.82    6 -2 -2 6
1.71    5 1 2 6
1.66    3 -2 -2 3
1.65    3 1 2 4
1.62    3 2 2 3
1.6     -6 2 2 -6
1.57    6 -2 2 8
1.47    10 2 -2 8
1.39    5 2 -2 3
1.37    4 2 1 3
1.36    6 1 -2 5
1.36    5 1 -2 4
1.34    -4 2 -2 -6
1.3     -7 -2 1 -6
1.28    4 1 -2 3
1.2     2 -2 1 3
1.2     -6 -2 1 -5
1.16    6 2 2 6
1.08    -3 2 1 -4
1.02    3 1 -2 2
1.02    8 1 -2 7

The module "5 -2 1 6" means that the two voices start together with a fifth, then move to a sixth, with the bottom voice going down a second while the top note stays on the same pitch.

Here is an example method to highlight the counterpoint module "5 -2 1 6" in graphical notation:

   cint -to --mark --search "5 -2 1 6" chor001.krn | satb2gs | autostem | \
         hum2abc | abcm2ps - -O - | ps2pdf - - > output.pdf

Searching

Create a search index for the chorales:

    tindex *.krn > chorales.index

Search for the melodic sequence "C D E F G A B C", counting how many chorales it occurs within:

   themax -p "cdefgabc" chorales.index | wc -l

To locate the pattern within the music:

   themax -p "cdefgabc" chorales.index --loc | theloc

which should return the result:

  chor190.krn::1	58=10B2-65=11B3
  chor325.krn::1	17=5B1-24=6B4

This means that the melodic pattern "cdefgabc" occurs in two chorales (190 and 325). In both cases, the bass part (::1) has the pattern. The pattern occurs from note 58 to 65 in the bass part to chorale 190 which is from measure 10 beat 2 until measure 11 beat 3. Similarly, the pattern occurs in the bass part of chorale 325 in measure 5 to 6.

The search matches can be marked in the original data:

   themax -p "cdefgabc" chorales.index --loc | theloc -m | less

Each matched note will be prefixed with an "@" sign. Search for these marks in measure 10/11 and 5/6 in the two chorales.

To pull out the measures which contain the matched notes:

       themax -p "cdefgabc" chorales.index --loc | theloc -m | myank --marks

To display matches highlighted in graphical notation for the last chorale in the list:

   themax -p "cdefgabc" chorales.index --loc | tail -n 1 | theloc -m \
       | autostem | hum2muse | muse2ps | ps2pdf - -  > output.pdf

Questions:

1. Search for another pattern, and report your findings.

The themax command can search for other melodic features, such as interval, contour, rhythm, meter.

Randomized Pitch

The pitchmix program can mix the order of notes in a score, while keeping the rhythm fixed. The default use of pitchmix will randomly move all notes in the score, keeping the rhythm in the original order:

   pitchmix chor001.krn > chor001.mixed

This can then be listened to with MIDI:

   pitchmix chor001.krn | hum2mid -o mixed.mid && open mixed.mid

For displaying notation, it is best to use the -n option which transposes the randomized notes to be within an interval of a fourth from the original note:

   pitchmix chor001.krn -n | autostem | hum2muse | muse2ps | ps2pdf - - > output.pdf

The -d option specifies a randomization envelope over the duration of the music. For example, -d "0 0 1 1 2 0" is a list of time/weights: (0, 0), (1, 1), (2, 0) which means that the music starts with no randomization; in the middle of the music, there is an increase to 100% randomization, and by the end of the music, the is a gradual shift back to no randomization.

    hum2mid chor001.mixed -o chor001-mixed.mid

There are several options to control the type of pitch mixing.