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yamabeeyamabee
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organized and added Algorithmic Reverb
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‎.DS_Store‎

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‎.idea/vcs.xml‎

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AcGtr.wav renamed to Additional Scripts/AcGtr.wav

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LogicalOperations.ipynb renamed to Additional Scripts/LogicalOperations.ipynb

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audioFunctions.ipynb renamed to Additional Scripts/audioFunctions.ipynb

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basicProgramming.ipynb renamed to Additional Scripts/basicProgramming.ipynb

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graphs.ipynb renamed to Additional Scripts/graphs.ipynb

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‎Additional Scripts/testing.py‎

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import matplotlib.pyplot as plt
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import numpy as np
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import soundfile
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import audiofile
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import pandas as pd
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from scipy import signal
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from scipy.io import wavfile
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import IPython.display as ipd
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from pydub import AudioSegment
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from scipy.fftpack import fft, fftfreq, ifft
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def apf(x, buffer, Fs, n, delay, gain, amp, rate):
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# Calculate time in seconds for the current sample
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t = n/Fs
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fracDelay = amp * np.sin(2 * np.pi * rate * t)
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intDelay = int(np.floor(fracDelay))
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frac = fracDelay - intDelay
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# Determine indexes for circular buffer
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M = len(buffer)
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indexC = int(n % M) # Current index
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indexD = int((n-delay+intDelay) % M) # Delay index
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indexF = int((n-delay+intDelay+1) % M) # Fractional index
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# Temp variable for output of delay buffer
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w = (1 - frac) * buffer[indexD] + frac * buffer[indexF]
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# Temp variable used for the node after the input sum
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v = x + (-gain * w)
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# Summation at output
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out = (gain * v) + w
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# Store the current input to delay buffer
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buffer[indexC] = v
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return out, buffer
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#%%
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# APFEXAMPLE
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# This script uses an all-pass filter function applied to an acoustic
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# guitar recording.
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#
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# See also APF
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x, Fs = soundfile.read('AcGtr.wav')
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maxDelay = int(np.ceil(0.05 * Fs)) # maximum delay of 50ms
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buffer = np.zeros(maxDelay)
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d = np.ceil(0.042 * Fs) # 42ms of delay
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g = 0.9
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rate = 0.9 # Hz (frequency of LFO)
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amp = 6 # Range of +/- 6 samples for delay
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# Initialize output signal
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N = len(x)
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out = np.zeros(N)
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for n in range(N):
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# Use apf function
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out[n], buffer = apf(x[n], buffer, Fs, n, d, g, amp, rate)
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Audio(out, rate=Fs)

‎Audio Files/AcGtr.wav‎

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distDrums.wav renamed to Audio Files/distDrums.wav

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