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Automatic stereo/mono detection

This commit is contained in:
Thibaud 2024-05-29 13:44:55 +02:00
parent cd68bb0058
commit e53df74d68
1 changed files with 16 additions and 4 deletions
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20
sound_process.py
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@ -283,8 +283,20 @@ def get_freq(song_name, offset, step, songlen, data, display=False):
return frequencies return frequencies
def is_data_stereo(raw_global_data:list) -> bool:
"""
raw_global_data : list
"""
try:
assert(raw_global_data[0][0])
except IndexError:
return False
except AssertionError:
return True
return True
def void_freq(song_name, offset, songlen, increment, minfreq, maxfreq, upperthr, ampthr, ampfreq, ampval, leniency, write, linear, is_stereo, output_file="trimmed.wav"):
def void_freq(song_name, offset, songlen, increment, minfreq, maxfreq, upperthr, ampthr, ampfreq, ampval, leniency, write, linear, output_file="trimmed.wav"):
""" """
song_name : string song_name : string
offset : int offset : int
@ -315,7 +327,7 @@ def void_freq(song_name, offset, songlen, increment, minfreq, maxfreq, upperthr,
subprocess.run(["clear"]) subprocess.run(["clear"])
subprocess.run(["rm", "crop.wav"]) subprocess.run(["rm", "crop.wav"])
if(is_stereo): if(is_data_stereo(raw_global_data)):
print("Converting to mono...") print("Converting to mono...")
for x in range(len(raw_global_data)): for x in range(len(raw_global_data)):
global_data[x] = raw_global_data[x][0]/2 + raw_global_data[x][1]/2 global_data[x] = raw_global_data[x][0]/2 + raw_global_data[x][1]/2
@ -448,7 +460,7 @@ def process_song(filename, bpm, offset0=0, div_len_factor=1, n_iter_2=-1, thresh
filtered_name = f"{filename}_trimmed.wav" filtered_name = f"{filename}_trimmed.wav"
void_freq(filename, offset, min(song_len, offset+div_len*(n_iter+1)+0.01), 4*60/bpm, minfreq=0, maxfreq=220, upperthr=5000, ampthr=60, ampfreq = 1200, ampval = 5.0, leniency = 0.005, write=True, linear=False, is_stereo=True, output_file=filtered_name) void_freq(filename, offset, min(song_len, offset+div_len*(n_iter+1)+0.01), 4*60/bpm, minfreq=0, maxfreq=220, upperthr=5000, ampthr=60, ampfreq = 1200, ampval = 5.0, leniency = 0.005, write=True, linear=False, output_file=filtered_name)
#void_freq(filename, offset, offset+div_len*(n_iter+1)+0.01, 4*60/bpm, minfreq=0, maxfreq=330, upperthr=2500, ampthr=60, ampfreq = 1200, ampval = 1/2000, leniency = 0.0, write=True, linear=True, output_file=filtered_name) #void_freq(filename, offset, offset+div_len*(n_iter+1)+0.01, 4*60/bpm, minfreq=0, maxfreq=330, upperthr=2500, ampthr=60, ampfreq = 1200, ampval = 1/2000, leniency = 0.0, write=True, linear=True, output_file=filtered_name)
datares = filter_n_percent_serial(filtered_name, offset, n_iter, div_len, threshold) datares = filter_n_percent_serial(filtered_name, offset, n_iter, div_len, threshold)
datares = snap(datares, 44100, bpm, 4, True) datares = snap(datares, 44100, bpm, 4, True)
@ -458,7 +470,7 @@ def process_song(filename, bpm, offset0=0, div_len_factor=1, n_iter_2=-1, thresh
def main(): def main():
data = process_song("tetris_4.wav", 160, n_iter_2 = 64) data = process_song("audio.wav", 160, n_iter_2 = 64)
#print(data) #print(data)
print("Program finished with return 0") print("Program finished with return 0")