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OSU's Computational Audition Course

Home Page: https://jrg94.github.io/CSE5539/

License: MIT License

TeX 47.26% Shell 0.97% Python 22.55% C 8.10% MATLAB 0.87% Standard ML 9.29% HTML 0.99% Batchfile 0.01% JavaScript 6.14% PostScript 0.97% Makefile 2.86%

audio visualization

cse5539's Introduction

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This week's code snippet, Josephus Problem in Commodore Basic, is brought to you by Subete and the Sample Programs repo.

5 REM Input N
10 GOSUB 1000
20 IF V = 0 OR C <> -1 THEN GOTO 140: REM invalid or not end of value
30 N = NR
35 REM Input K
40 GOSUB 1000
50 IF V = 0 OR C >= 0 THEN GOTO 140: REM invalid or not end character
60 K = NR
70 G = 0
80 IF N < 2 THEN GOTO 120
85 REM Calculate Josephus Problem using this:
86 REM https://en.wikipedia.org/wiki/Josephus_problem#The_general_case
90 FOR M = 2 TO N
100     G = G + K - INT((G + K) / M) * M
110 NEXT M
120 PRINT MID$(STR$(G + 1), 2)
130 END
140 PRINT "Usage: please input the total number of people and number of people to skip."
150 END
1000 REM Read input value one character at a time since Commodore BASIC
1001 REM has trouble reading line from stdin properly
1002 REM NR = number
1003 REM V = 1 if valid number, 0 otherwise
1004 REM C = -2 if end of input, -1 if end of value,
1005 REM   32 if whitespace, ASCII code of last character otherwise
1006 REM Initialize
1010 NR = 0
1020 V = 0
1030 S = 1
1035 REM Loop while leading spaces
1040 GOSUB 1500
1050 IF C = 43 OR C = 45 THEN GOTO 1100: REM + or -
1060 IF C >= 48 AND C <= 57 THEN GOTO 1150: REM 0 to 9
1070 IF C = 32 THEN GOTO 1040: REM whitespace
1080 RETURN: REM other character
1085 REM Loop while sign
1090 GOSUB 1500
1100 IF C = 43 THEN GOTO 1090: REM +
1110 IF C >= 48 AND C <= 57 THEN GOTO 1150: REM 0 to 9
1120 IF C <> 45 THEN RETURN: REM not -
1130 S = -S
1140 GOTO 1090
1145 REM Set valid flag
1150 V = 1
1155 REM Loop while digits
1160 NR = (ABS(NR) * 10 + C - 48) * S
1170 GOSUB 1500
1180 IF C >= 48 AND C <= 57 THEN GOTO 1160: REM 0 to 9
1185 REM Loop while trailing spaces
1190 IF C < 0 OR C <> 32 THEN RETURN: REM end character or not whitespace
1200 GOSUB 1500
1210 GOTO 1180
1500 REM Get input character
1501 REM A$ = input character
1502 REM C = One of the following:
1502 REM - -1 if end of value
1503 REM - -2 if end of input
1504 REM - 32 if whitespace
1505 REM - ASCII code otherwise
1510 GET A$
1520 C = ASC(A$)
1530 IF C = 13 THEN C = -1
1540 IF C = 255 THEN C = -2
1550 IF C = 9 OR C = 10 THEN C = 32
1560 RETURN

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cse5539's Issues

Verify Music Parsing is Accurate

At this point, I've extracted to music data and all the sample tables. I want to try to dump the music data to a WAV file to see if everything has worked. Then, I can begin my analysis.

Helpful article: https://thehackerdiary.wordpress.com/2017/06/09/it-is-ridiculously-easy-to-generate-any-audio-signal-using-python/

Attempt M4A Parsing by Hand

M4A Specification: http://www.file-recovery.com/m4a-signature-format.htm

Model MP3 Song Data in Python

See EyeD3 Library: https://eyed3.readthedocs.io/en/latest/ (GPL3)
See Mutagen Library: https://mutagen.readthedocs.io/en/latest/ (GPL2)
See Audio Tools Library: https://github.com/tuffy/python-audio-tools (GPL2)
See AudioRead Library: https://github.com/beetbox/audioread (MIT)

Email 1

Hi Professor Wang,

I wanted to reach out because the syllabus mentions that we should discuss potential projects before writing the proposal.

I was wondering if a coding project would be acceptable. I'm in the graphics group with Professor Han-Wei Shen, and I'm interested in the intersection between data visualization, education, and music. In particular, I'd like to do a bit of data mining on some music signal files (i.e. mp3) to see if I can visualize anything useful.

Obviously, I'll need to nail down the details a bit more before the 11th, but I don't want to go down that path if it isn't an acceptable project.

Thanks!

Email 2

Hey Professor Wang,

I've been doing some reading, and I think I have a more specific proposal. How would something like the following sound for a term project?

I'd like to do some signal processing on music files to try to collect some time series data which might includes information like loudness, onset density, auditory roughness, pitch range, etc. Then, I'd like to aggregate that data and average it over different genres, visualizes the results, and try to see if I can find anything interesting.

My long term goal is to use this project as a springboard into my research which will likely be data visualization for music education. Unfortunately, I don't know a ton of signal processing yet, so I'd like to get my feet wet with a little bit of it in this course.

Let me know if this sounds like a good plan.

Response

What you suggest is fine as a term project. I would suggest adding some processing functions, like pitch detection (we'll have a mid-term programming on this) and onset detection.