Tool for quickly making drumkits for the novation circuit

drumkit_split64.py

# This file contains code to save 64 samples as a syx file for Novation Circuit
#
# * It reads a single long wave file.
# * splits it into 64 equal chunks
# * crops the sound
# * adds a super fast fadein and "an appropriate fadeout". To remove clicks
# * normalizes every sample
# * Saves the whole thing as a syx file.
#
# Aslak Grinsted 2020

finput = 'fast_circuit_drumkit2.wav' # this has to be 48khz! There is no resampling.

foutput = finput.replace('.wav','.syx')


from scipy.io import wavfile
samplerate, data = wavfile.read(finput)




import matplotlib.pyplot as plt
import numpy as np
import binascii
import math
import struct


#Utility functions to write the NOVATION CIRCUIT sysex file
def crcToNybbles(crc):
    n = [0, 0, 0, 0, 0, 0, 0, 0]
    for t in range(8):
        n[t] = 15 & crc >> 4 * (7 - t)
    return bytearray(n)

# def sevenToEight(packet):
#     packet = [b for b in packet]
#     data = bytearray(b"")
#     n = len(packet)
#     r = 0
#     while r < n:
#         i = packet[r : r + 8]
#         c = i[1:]
#         for a in range(len(c)):
#             hi = (i[0] & (1 << a)) >> a
#             c[a] += hi << 7
#         r += 8
#         data.extend(c)
#     return data

def eightToSeven(e):
    n = len(e)
    r = n + math.ceil(n / 7)
    a = [0] * r
    o = 0
    i = 0
    while o < n:
        for t in range(7):
            c = 0
            if o + t < n:
                a[i + t + 1] = 127 & e[o + t]
                c = (128 & e[o + t]) >> 7 - t
            a[i] |= c
        o += 7
        i += 8
    return bytearray(a)


#THIS IS A SAMPLE IN THE CIRCUIT SAMPLE BANK
class Sample:
    def __init__(self):
        self.sampledata = []  # has to be 48khz

    def set_sampledata(self, data):
        if len(data.shape)>1:
            data = np.mean(data, axis=1) #make mono
        data = data / np.max(np.abs(data))
        self.sampledata = (data * 32767).astype(np.int16)

    def blob(self):
        n = len(self.sampledata) * 2
        sampleblob = [1, 16, 128, 187, 0, 0]
        sampleblob.extend([n & 0xFF, (n >> 8) & 0xFF, (n >> 16) & 0xFF, n >> 24])
        if n > 0:
            raw = struct.pack(">{}h".format(len(self.sampledata)), *self.sampledata)
            sampleblob.extend(raw)
        return sampleblob

#CLASS HOLDING 64 SAMPLES
class SampleBank:
    samples = []
    def __init__(self):
        self.samples = [Sample() for count in range(64)]

    def blob(self):
        blob = [64]
        for sample in self.samples:
            blob.extend(sample.blob())
        # length must be 5763072
        if len(blob) > 5763072:
            raise Exception("insufficient space!")
        blob.extend([0] * (5763072 - len(blob)))
        return blob

    def sysex(self):
        blob = self.blob()
        crc = binascii.crc32(bytearray(blob))
        sysex = list(b'\xF0\x00\x20\x29\x00\x77\x00\x00\x02\x03\x0B\x00\x00\x00\x00\x00\x05\x07\x0F\x00\x00\x00\xF7')
        for offset in range(0,5763072,256):
            row = blob[offset:offset+256]
            row = eightToSeven(row)
            sysex.extend(list(b'\xF0\x00\x20\x29\x00\x79'))
            sysex.extend(row)
            sysex.extend(list(b'\xF7'))
        sysex.extend(list(b'\xF0\x00\x20\x29\x00\x7A'))
        sysex.extend(crcToNybbles(crc))
        sysex.extend(list(b'\xF7'))
        return bytearray(sysex)



Bank = SampleBank()



#THIS CODE reads a single long wave file and splits it into 64 individual samples

N=64 #

Ns = int(data.shape[0]/N)

fadein =8
for ix in range(N):
    s = data[Ns*ix:Ns*(ix+1)-20,:]
    s = s/np.max(s)
    #s = s.mean(axis=1)

    lastix = np.where(np.abs(s)>0.02)[0][-1]

    fadeout=int(lastix/10)


    for c in range(s.shape[1]):
        s[0:fadein,c] = s[0:fadein,c] * np.linspace(0,1,fadein)
        s[lastix-fadeout:lastix,c] = s[lastix-fadeout:lastix,c] * np.linspace(1,0,fadeout)

    s = s[0:lastix,:]

    Bank.samples[ix].set_sampledata(s)

    #THESE lines saves individual samples.
    # kit = int(ix/8) + 1
    # sample = (ix) % 8 +1

    # fname = 'drum{}_kit{}.wav'.format(sample,kit)
    # s = (s*32767).astype(data.dtype)
    # wavfile.write(fname,samplerate,s)

syxfile = open(foutput, "wb")
syxfile.write(Bank.sysex())
syxfile.close()

Nice .. I can see you have also cleaned up the code alot.