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@NP-chaonay
Last active May 24, 2020 04:46
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My DSP (Audio) code snippet
### Create sine wave and write to disk ###
import math
import numpy as np
import scipy.io.wavfile as scp_io_wav
rate=44100
freq=440
sample_num=rate*5
# Note: round to 15 due to inaccurate of resulted value when input values "pi" and "2pi"
# Note: Using modulus (When at least 1 cycle of circle sine is reached, reset to 0) to prevent bigger value cause the inaccurate of resulted value. (Using lower rounding decimal point may decrease precision when inputted value goes higher.)
array=np.array([round(math.sin((n%2)*math.pi),15) for n in np.linspace(0,2*freq*(sample_num/rate),sample_num)])
to_write_array=np.round(32767*array).astype('int16')
scp_io_wav.write('/tmp/wave.wav',rate,to_write_array)
### Create sine wave by human-hearable musicial notes and write to disk ###
import math
import numpy as np
import scipy.io.wavfile as scp_io_wav
rate=44100
sample_num=rate//2
freqs=[440*2**(n/12) for n in range(-53,67)]
accumerated_arr=[]
for freq in freqs:
# Note: round to 15 due to inaccurate of resulted value when input values "pi" and "2pi"
# Note: Using modulus (When at least 1 cycle of circle sine is reached, reset to 0) to prevent bigger value cause the inaccurate of resulted value. (Using lower rounding decimal point may decrease precision when inputted value goes higher.)
array=np.array([round(math.sin((n%2)*math.pi),15) for n in np.linspace(0,2*freq*(sample_num/rate),sample_num)])
accumerated_arr+=[array]
accumerated_arr=np.concatenate(accumerated_arr)
to_write_array=np.round(32767*accumerated_arr).astype('int16')
scp_io_wav.write('/tmp/wave.wav',rate,to_write_array)
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