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import os
import numpy as np
import librosa
import soundfile as sf
from modules.slicer2 import Slicer
class AutoSlicer:
def __init__(self):
self.slicer_params = {
"threshold": -40,
"min_length": 5000,
"min_interval": 300,
"hop_size": 10,
"max_sil_kept": 500,
}
self.original_min_interval = self.slicer_params["min_interval"]
def auto_slice(self, filename, input_dir, output_dir, max_sec):
audio, sr = librosa.load(os.path.join(input_dir, filename), sr=None, mono=False)
slicer = Slicer(sr=sr, **self.slicer_params)
chunks = slicer.slice(audio)
files_to_delete = []
for i, chunk in enumerate(chunks):
if len(chunk.shape) > 1:
chunk = chunk.T
output_filename = f"{os.path.splitext(filename)[0]}_{i}"
output_filename = "".join(c for c in output_filename if c.isascii() or c == "_") + ".wav"
output_filepath = os.path.join(output_dir, output_filename)
sf.write(output_filepath, chunk, sr)
#Check and re-slice audio that more than max_sec.
while True:
new_audio, sr = librosa.load(output_filepath, sr=None, mono=False)
if librosa.get_duration(y=new_audio, sr=sr) <= max_sec:
break
self.slicer_params["min_interval"] = self.slicer_params["min_interval"] // 2
if self.slicer_params["min_interval"] >= self.slicer_params["hop_size"]:
new_chunks = Slicer(sr=sr, **self.slicer_params).slice(new_audio)
for j, new_chunk in enumerate(new_chunks):
if len(new_chunk.shape) > 1:
new_chunk = new_chunk.T
new_output_filename = f"{os.path.splitext(output_filename)[0]}_{j}.wav"
sf.write(os.path.join(output_dir, new_output_filename), new_chunk, sr)
files_to_delete.append(output_filepath)
else:
break
self.slicer_params["min_interval"] = self.original_min_interval
for file_path in files_to_delete:
if os.path.exists(file_path):
os.remove(file_path)
def merge_short(self, output_dir, max_sec, min_sec):
short_files = []
for filename in os.listdir(output_dir):
filepath = os.path.join(output_dir, filename)
if filename.endswith(".wav"):
audio, sr = librosa.load(filepath, sr=None, mono=False)
duration = librosa.get_duration(y=audio, sr=sr)
if duration < min_sec:
short_files.append((filepath, audio, duration))
short_files.sort(key=lambda x: x[2], reverse=True)
merged_audio = []
current_duration = 0
for filepath, audio, duration in short_files:
if current_duration + duration <= max_sec:
merged_audio.append(audio)
current_duration += duration
os.remove(filepath)
else:
if merged_audio:
output_audio = np.concatenate(merged_audio, axis=-1)
if len(output_audio.shape) > 1:
output_audio = output_audio.T
output_filename = f"merged_{len(os.listdir(output_dir))}.wav"
sf.write(os.path.join(output_dir, output_filename), output_audio, sr)
merged_audio = [audio]
current_duration = duration
os.remove(filepath)
if merged_audio and current_duration >= min_sec:
output_audio = np.concatenate(merged_audio, axis=-1)
if len(output_audio.shape) > 1:
output_audio = output_audio.T
output_filename = f"merged_{len(os.listdir(output_dir))}.wav"
sf.write(os.path.join(output_dir, output_filename), output_audio, sr)
def slice_count(self, input_dir, output_dir):
orig_duration = final_duration = 0
for file in os.listdir(input_dir):
if file.endswith(".wav"):
_audio, _sr = librosa.load(os.path.join(input_dir, file), sr=None, mono=False)
orig_duration += librosa.get_duration(y=_audio, sr=_sr)
wav_files = [file for file in os.listdir(output_dir) if file.endswith(".wav")]
num_files = len(wav_files)
max_duration = -1
min_duration = float("inf")
for file in wav_files:
file_path = os.path.join(output_dir, file)
audio, sr = librosa.load(file_path, sr=None, mono=False)
duration = librosa.get_duration(y=audio, sr=sr)
final_duration += float(duration)
if duration > max_duration:
max_duration = float(duration)
if duration < min_duration:
min_duration = float(duration)
return num_files, max_duration, min_duration, orig_duration, final_duration
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