ferrihydrite

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ferrihydrite

# -*- coding: utf-8 -*-
"""
USAGE: 
morphagene_ableton3.py -w <inputwavfile> -l <inputlabels> -o <outputfile>'

Instructions in Ableton:
    Insert locators as splice markers in your project (Create > Add Locator)
    Export Audio/Video with
        Sample Rate: 48000 Hz
        Encode PCM: enabled

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

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 -*-
"""
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 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 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

# -*- 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

#!/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 -*-
"""
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.