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https://github.com/RVC-Boss/GPT-SoVITS.git
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64 lines
2.2 KiB
Python
64 lines
2.2 KiB
Python
import os, sys, numpy as np
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import traceback
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from scipy.io import wavfile
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# parent_directory = os.path.dirname(os.path.abspath(__file__))
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# sys.path.append(parent_directory)
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from my_utils import load_audio
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from slicer2 import Slicer
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def slice(
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inp,
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opt_root,
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threshold,
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min_length,
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min_interval,
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hop_size,
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max_sil_kept,
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_max,
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alpha,
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i_part,
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all_part,
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):
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os.makedirs(opt_root, exist_ok=True)
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if os.path.isfile(inp):
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input = [inp]
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elif os.path.isdir(inp):
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input = ["%s/%s" % (inp, name) for name in sorted(list(os.listdir(inp)))]
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else:
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return "输入路径存在但既不是文件也不是文件夹"
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slicer = Slicer(
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sr=32000, # 长音频采样率
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threshold=int(threshold), # 音量小于这个值视作静音的备选切割点
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min_length=int(min_length), # 每段最小多长，如果第一段太短一直和后面段连起来直到超过这个值
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min_interval=int(min_interval), # 最短切割间隔
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hop_size=int(hop_size), # 怎么算音量曲线，越小精度越大计算量越高（不是精度越大效果越好）
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max_sil_kept=int(max_sil_kept), # 切完后静音最多留多长
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)
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_max = float(_max)
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alpha = float(alpha)
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for inp_path in input[int(i_part) :: int(all_part)]:
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# print(inp_path)
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try:
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name = os.path.basename(inp_path)
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audio = load_audio(inp_path, 32000)
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# print(audio.shape)
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for chunk, start, end in slicer.slice(audio): # start和end是帧数
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tmp_max = np.abs(chunk).max()
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if tmp_max > 1:
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chunk /= tmp_max
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chunk = (chunk / tmp_max * (_max * alpha)) + (1 - alpha) * chunk
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wavfile.write(
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"%s/%s_%s_%s.wav" % (opt_root, name, start, end),
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32000,
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# chunk.astype(np.float32),
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(chunk * 32767).astype(np.int16),
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)
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except:
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print(inp_path, "->fail->", traceback.format_exc())
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return "执行完毕，请检查输出文件"
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print(slice(*sys.argv[1:]))
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