moui72

from os import walk
from os.path import join, basename
from pydub import AudioSegment
from json import dump, dumps
import pydub.scipy_effects
import numpy
import csv
import time

RemyPorter

import time
import spatial as sp
import sounddevice as sd

def play(sound, sample_rate=sp.SAMPLE_RATE):
  """Helper to play serially"""
  sd.play(sound)
  time.sleep(len(sound) / sample_rate)

space = sp.space(3)

alexanderlerch

dataset	meta data	contents	with audio
200DrumMachines		7371 one-shots	yes
AAM	onsets, pitches, instruments, melody instrument, keys, chords, tempo, beats	3000 (artificial) tracks	yes
ACM_MIRUM	tempo	1410 excerpts (60s)	yes
ACPAS	aligned audio and scores	2189 performances of 497 scores	downloadable
AcousticBrainz-Genre	15-31 genres with 265-745 subgenres	audio features for over 2000000 songs	no

mayurbhangale

Audio

Make some noise and record your voice! Deep Learning models will analyze and build a drum kit, then start generating drum patterns infinitely with your sound.

Convolutional Neural Network is used to analyze and classify audio segments based on spectrograms (demo codepen) and Recurrent Neural Network(LSTM) for generating drum sequences. Shout-out to Tero Parviainen! Rhythm generation part of this codepen is based on his amazing Neural Drum Machine

Built with magenta.js, tensorflow.js and p5.js by @naotokui_en

HarryUPf

Raspberry Pi SunVox Headless Synth Setup (in 10-easy-steps)

INSTRUCTIONS

STEP_01

• download and unzip stable RealtimePi distro

STEP_02

• write the extracted .img to sdcard with Etcher

STEP_03

mzero

These are instructions for building a stand alone, headless, music computer based on the Pisound audio card and a RaspberryPi 3.

I use this set up in my live performance rig where it does all of the following without breaking a sweat:

• Audio effects
• stutter gate (beat sync'd)

devxpy

INSTRUMENTS = [
    'Acoustic Grand Piano',
    'Bright Acoustic Piano',
    'Electric Grand Piano',
    'Honky-tonk Piano',
    'Electric Piano 1',
    'Electric Piano 2',
    'Harpsichord',
    'Clavi',
    'Celesta',

matthewberryman

audioread==2.1.5
cryptography==1.7.1
decorator==4.0.11
idna==2.2
joblib==0.11
keyring==10.1
keyrings.alt==1.3
librosa==0.5.1
llvmlite==0.15.0
numba==0.30.1

jiaaro

from pydub import AudioSegment
from pydub.utils import db_to_float

# note: see usage example at the bottom of the gist :)

class Mixer(object):
    def __init__(self):
        self.parts = []
    
    def overlay(self, sound, position=0):

hiwonjoon

import subprocess
import datetime
import numpy as np

THREAD_NUM=4

def get_video_info(fileloc) :
    command = ['ffprobe',
               '-v', 'fatal',
               '-show_entries', 'stream=width,height,r_frame_rate,duration',