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[experimental] EnergyDetection: replace pydub with librosa #240

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[experimental] EnergyDetection: replace pydub with librosa #240

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22 changes: 13 additions & 9 deletions ChildProject/pipelines/samplers.py
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Original file line number Diff line number Diff line change
Expand Up @@ -6,6 +6,7 @@
import os
import pandas as pd
from pydub import AudioSegment
import librosa
import sys
import traceback
from typing import Union, List
Expand Down Expand Up @@ -342,29 +343,32 @@ def get_recording_windows(self, recording):
recording_path = self.project.get_recording_path(recording['recording_filename'], self.profile)

try:
audio = AudioSegment.from_file(recording_path)
signal, frequency = librosa.load(recording_path, mono = False, sr = None)
except:
print(traceback.format_exc(), file = sys.stderr)
print("failed to read '{}', is it a valid audio file ?".format(recording_path), file = sys.stderr)
return pd.DataFrame()

duration = int(audio.duration_seconds*1000)
channels = audio.channels
frequency = int(audio.frame_rate)
max_value = 256**(int(audio.sample_width))/2-1
channels = 1 if signal.ndim == 1 else signal.shape[0]
samples = signal.shape[0] if signal.ndim == 1 else signal.shape[1]
duration = int(1000*(samples/frequency))

windows_starts = np.arange(self.windows_offset, duration - self.windows_length, self.windows_spacing).astype(int)
windows = []

print("computing the energy of {} windows for recording {}...".format(len(windows_starts), recording['recording_filename']))
for start in windows_starts:
energy = 0
chunk = audio[start:start+self.windows_length].get_array_of_samples()
channel_energies = np.zeros(channels)

on, off = librosa.time_to_samples(
np.array([start, start+self.windows_length])/1000, sr = frequency
)

for channel in range(channels):
data = np.array(chunk[channel::channels])/max_value
channel_energies[channel] = self.compute_energy_loudness(data, frequency)
if channels > 1:
channel_energies[channel] = self.compute_energy_loudness(signal[channel][on:off], frequency)
else:
channel_energies[channel] = self.compute_energy_loudness(signal[on:off], frequency)

window = {
'segment_onset': start,
Expand Down