ferrihydrite

# wavfile.py (Enhanced)
# Date: 2017/01/11 Joseph Basquin
#
# URL: https://gist.github.com/josephernest/3f22c5ed5dabf1815f16efa8fa53d476
# Source: scipy/io/wavfile.py
#
# Added:
# * read: also returns bitrate, cue markers + cue marker labels (sorted), loops, pitch
#         See https://web.archive.org/web/20141226210234/http://www.sonicspot.com/guide/wavefiles.html#labl
# * read: 24 bit & 32 bit IEEE files support (inspired from wavio_weckesser.py from Warren Weckesser)

ferrihydrite

#!/usr/bin/env python2
# -*- coding: utf-8 -*-
"""
Used to convert Audacity labels in .txt form on  .WAV files into
    single 32-bit float .WAV with CUE markers within the file, directly
    compatible with the Make Noise Morphagene.
Does not require input file to be 48000Hz, only that the Audacity label matches
    the .WAV file that generated it, and that the input .WAV is stereo.
     
See the Morphagene manual for naming conventions of output files:    

ferrihydrite

# -*- coding: utf-8 -*-
"""
Created on Sun Nov 25 21:15:52 2018

@author: ferri

updated version of mor.py with wavio functions

Reads 8, 16 bit wav files, mono or stereo.
    

ferrihydrite

#!/usr/bin/env python2
# -*- coding: utf-8 -*-
"""
USAGE: 
morphagene_audacity.py -w <inputwavfile> -l <inputlabels> -o <outputfile>'

Used to convert Audacity labels in .txt form on .WAV files into
    single 32-bit float .WAV with CUE markers within the file, directly
    compatible with the Make Noise Morphagene.
    

ferrihydrite

# -*- coding: utf-8 -*-
"""
Read 24 bit WAV files with markers from Logic Pro, extract markers, and resave
    file as a 32 bit float file with cue markers, directly compatible with
    the Make Noise Morphagene.
Does not require input file to be 48000Hz, only that the .WAV file 
    has cue markers correct to its sampling rate, and that the input 
    .WAV is stereo.
    
Usage:

ferrihydrite

# -*- coding: utf-8 -*-
"""
Created on Sun Nov 25 21:15:52 2018

@author: ferri

updated version of mor.py with wavio functions

Reads 8, 16 bit wav or aiff files, mono or stereo.
    

ferrihydrite

#!/usr/bin/env python2
# -*- coding: utf-8 -*-
"""
Usage:
    morphagene_onset.py -w <inputwavfile> -o <outputfile>
    
Use the Superflux onset detection algorithm with backtracking to generate 
    splice locations.
Use these splice locations with a converted WAV (to 32-bit float / 48000Hz) 
    to make Morphagene reels.

ferrihydrite

# -*- coding: utf-8 -*-
"""
Created on Fri Jan  4 19:52:52 2019

Read an image, and read rows in a simplified grayscale version of an image to generate a wavetable of specified number of tables and wavelength.
Additionally reverse alternating rows of simplified image to prevent sharp changes in resulting wavetable.
"""
import matplotlib.pyplot as plt
import numpy as np
from scipy.io.wavfile import write

ferrihydrite

#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Usage:
    morphagene_onset3.py -w <inputwavfile> -o <outputfile> -s <splicecount>
    
Use the Superflux onset detection algorithm with backtracking to generate 
    splice locations.
Use these splice locations with a converted WAV (to 32-bit float / 48000Hz) 
    to make Morphagene reels.

ferrihydrite

# -*- coding: utf-8 -*-
"""
USAGE: 
morphagene_audacity3.py -w <inputwavfile> -l <inputlabels> -o <outputfile>'

Used to convert Audacity labels in .txt form on .WAV files into
    single 32-bit float .WAV with CUE markers within the file, directly
    compatible with the Make Noise Morphagene.
    
Does not require input file to be 48000Hz, only that the Audacity label matches