def any_to_flac(audio_file_name):
if audio_file_name.split('.')[1] == 'mp3':
sound = AudioSegment.from_file(audio_file_name)
audio_file_name = audio_file_name.split('.')[0] + '.flac'
effects.high_pass_filter(sound, 300)
sound.export(audio_file_name, format='flac')
print('Flac Conversion Done')
elif audio_file_name.split('.')[1] == 'm4a':
sound = AudioSegment.from_file(audio_file_name)
audio_file_name = audio_file_name.split('.')[0] + '.flac'
sound.export(audio_file_name, format='flac')
print('Flac Conversion Done')
else:
print('The format is not recognized')
def cheap_eq(seg, focus_freq, bandwidth=100, mode="peak", gain_dB=0, order=2):
'''
Cheap EQ in PyDub
Silence=-120dBFS
I2/I1=2=>3dB SPL Gain
'''
if gain_dB >= 0:
if mode == "peak":
sec = band_pass_filter(seg,
focus_freq - bandwidth / 2,
focus_freq + bandwidth / 2,
order=order)
seg = seg.overlay(sec - (3 - gain_dB))
return peak_limiter(seg)
pass
if mode == "low_shelf":
sec = low_pass_filter(seg, focus_freq, order=order)
seg = seg.overlay(sec - (3 - gain_dB))
return peak_limiter(seg)
pass
if mode == "high_shelf":
sec = high_pass_filter(seg, focus_freq, order=order)
seg = seg.overlay(sec - (3 - gain_dB))
return peak_limiter(seg)
pass
pass
if gain_dB < 0:
if mode == "peak":
sec = high_pass_filter(seg,
focus_freq - bandwidth / 2,
order=order)
seg = seg.overlay(sec - (3 + gain_dB)) + gain_dB
sec = low_pass_filter(seg, focus_freq + bandwidth / 2, order=order)
seg = seg.overlay(sec - (3 + gain_dB)) + gain_dB
return peak_limiter(seg)
pass
if mode == "low_shelf":
sec = high_pass_filter(seg, focus_freq, order=order)
seg = seg.overlay(sec - (3 + gain_dB)) + gain_dB
return peak_limiter(seg)
pass
if mode == "high_shelf":
sec = low_pass_filter(seg, focus_freq, order=order)
seg = seg.overlay(sec - (3 + gain_dB)) + gain_dB
return peak_limiter(seg)
pass
pass
pass
def blah_custom_eq(sample,
low_db=0, demud_db=0, intel_db=0, air_db=0):
sample.set_channels(1) # tmp
print("eq-ing ...")
bands = []
bands.append( scipy_effects.low_pass_filter(sample, 100) + low_db )
bands.append( scipy_effects.band_pass_filter(sample, 100, 250) )
bands.append( scipy_effects.band_pass_filter(sample, 250, 300) + demud_db )
bands.append( scipy_effects.band_pass_filter(sample, 300, 2500) )
bands.append( scipy_effects.band_pass_filter(sample, 2500, 3000) + intel_db )
bands.append( scipy_effects.band_pass_filter(sample, 3000, 10000) )
bands.append( scipy_effects.band_pass_filter(sample, 10000, 16000) + air_db )
bands.append( scipy_effects.high_pass_filter(sample, 16000) )
result = bands[0]
for b in bands[1:]:
result = result.overlay(b)
plt.figure()
sample.set_channels(1)
raw = sample.get_array_of_samples()
fft = np.fft.rfft(raw)
freq = np.fft.rfftfreq(len(raw), d=1/sample_rate)
plt.plot(freq, np.abs(fft), label="sample")
if True:
for i, b in enumerate(bands[1:2]):
b.set_channels(1)
raw = b.get_array_of_samples()
fft = np.fft.rfft(raw)
freq = np.fft.rfftfreq(len(raw), d=1/sample_rate)
plt.plot(freq, np.abs(fft), label="band %d" % i)
result.set_channels(1)
raw = result.get_array_of_samples()
fft = np.fft.rfft(raw)
freq = np.fft.rfftfreq(len(raw), d=1/sample_rate)
plt.plot(freq, np.abs(fft), label="eq result")
#fig, ax = plt.subplots(nrows=8, sharex=True, sharey=True)
#oenv = librosa.onset.onset_strength(y=np.array(raw).astype('float'),
# sr=sample_rate,
# hop_length=hop_length)
#t = librosa.times_like(oenv, sr=sample_rate, hop_length=hop_length)
#chroma = librosa.feature.chroma_cqt(y=np.array(raw).astype('float'),
# sr=sample_rate,
# hop_length=hop_length)
#img = librosa.display.specshow(chroma,
# x_axis='time',
# y_axis='chroma',
# hop_length=int(hop_length*0.5), ax=ax[0])
#fig.colorbar(img, ax=ax)a
plt.legend()
plt.show()
return result
def lofi_filter(audioclip: AudioSegment, cutoff=500) -> AudioSegment:
"""
Yeah I just rewrapped the pydub's band_pass_filter. Fight me.
"""
audioclip = scipy_effects.low_pass_filter(audioclip, cutoff)
audioclip = scipy_effects.high_pass_filter(audioclip, cutoff)
return audioclip
print("> successfully opened mp3 file")
# use ffmpeg for conversion to 16 bit & mono channel wav
# required format for transcription api
subprocess.call(f"ffmpeg -i {MP3_FILE} -acodec pcm_s16le -ac 1 -ar 16000 {WAV_FILE}", shell=True)
# Use pydub low pass filter and export
# cuts off all frequencies above 3500 Hz
lp_audio = scipy_effects.low_pass_filter(audio_file, 3500)
LP_MP3 = LP_FILE.replace("wav", "mp3")
lp_audio.export(LP_MP3, format="mp3")
subprocess.call(f"ffmpeg -i {LP_MP3} -acodec pcm_s16le -ac 1 -ar 16000 {LP_FILE}", shell=True)
print("> successfully saved and converted low pass filter")
# Use pydub high pass filter and export
# cuts off all frequencies below 70 Hz
# reference: Human hearing starts at 20 Hz, lowest average human speech starts at 85 Hz
hp_audio = scipy_effects.high_pass_filter(audio_file, 70)
HP_MP3 = HP_FILE.replace("wav", "mp3")
hp_audio.export(HP_MP3, format="mp3")
subprocess.call(f"ffmpeg -i {HP_MP3} -acodec pcm_s16le -ac 1 -ar 16000 {HP_FILE}", shell=True)
print("> successfully saved and converted high pass filter")
# Use pydub bandpass filter and export
# Cut off frequencies below 70 and above 3500 Hz
bp_audio = scipy_effects.band_pass_filter(audio_file, 70, 3500)
BP_MP3 = BP_FILE.replace("wav", "mp3")
bp_audio.export(BP_MP3, format="mp3")
subprocess.call(f"ffmpeg -i {BP_MP3} -acodec pcm_s16le -ac 1 -ar 16000 {BP_FILE}", shell=True)
print("> successfully saved and converted band pass filter")
'''
print('Processing DynaMIX Stereo')
print('\tTime Domain Processing')
'''
DynaMIX Sample Processing:-
Time Domain Gain Analysis: Using Relative Dominance
Relative Stereo Separation
'''
#Bass Band
mid_channel = cheap_eq(mid_channel, 250, mode="low_shelf", gain_dB=6, order=2)
mid_channel = cheap_eq(mid_channel,
650,
mode="high_shelf",
gain_dB=-24,
order=2)
rear_channel[0] = high_pass_filter(rear_channel[0], 100, order=2)
rear_channel[1] = high_pass_filter(rear_channel[1], 100, order=2)
ex_channel[0] = cheap_eq(ex_channel[0],
250,
mode="low_shelf",
gain_dB=1.5,
order=2)
ex_channel[1] = cheap_eq(ex_channel[1],
250,
mode="low_shelf",
gain_dB=1.5,
order=2)
ex_channel[4] = cheap_eq(ex_channel[4],
650,
mode="low_shelf",
gain_dB=-18,