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60 lines
2.6 KiB
Python
60 lines
2.6 KiB
Python
import ffmpeg
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import numpy as np
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#import praatio
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#import praatio.praat_scripts
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import os
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#from os.path import join
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#praatEXE = join('.',os.path.abspath(os.getcwd()) + r"\Praat.exe")
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def load_audio(file, sr, DoFormant, Quefrency, Timbre):
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try:
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# https://github.com/openai/whisper/blob/main/whisper/audio.py#L26
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# This launches a subprocess to decode audio while down-mixing and resampling as necessary.
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# Requires the ffmpeg CLI and `ffmpeg-python` package to be installed.
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file = (
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file.strip(" ").strip('"').strip("\n").strip('"').strip(" ")
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) # 防止小白拷路径头尾带了空格和"和回车
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file_formanted = (
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file.strip(" ").strip('"').strip("\n").strip('"').strip(" ")
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)
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with open('formanting.txt', 'r') as fvf:
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content = fvf.readlines()
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if 'True' in content[0].split('\n')[0]:
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#print("true")
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DoFormant = True
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Quefrency, Timbre = content[1].split('\n')[0], content[2].split('\n')[0]
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else:
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#print("not true")
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DoFormant = False
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if DoFormant:
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#os.system(f"stftpitchshift -i {file} -q {Quefrency} -t {Timbre} -o {file_formanted}")
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#print('stftpitchshift -i "%s" -p 1.0 --rms -w 128 -v 8 -q %s -t %s -o "%s"' % (file, Quefrency, Timbre, file_formanted))
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print("formanting...")
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os.system('stftpitchshift -i "%s" -q %s -t %s -o "%sFORMANTED"' % (file, Quefrency, Timbre, file_formanted))
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print("formanted!")
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#filepraat = (os.path.abspath(os.getcwd()) + '\\' + file).replace('/','\\')
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#file_formantedpraat = ('"' + os.path.abspath(os.getcwd()) + '/' + 'formanted'.join(file_formanted) + '"').replace('/','\\')
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out, _ = (
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ffmpeg.input('%sFORMANTED%s' % (file_formanted, '.wav'), threads=0)
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.output("-", format="f32le", acodec="pcm_f32le", ac=1, ar=sr)
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.run(cmd=["ffmpeg", "-nostdin"], capture_stdout=True, capture_stderr=True)
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)
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os.remove('%sFORMANTED%s' % (file_formanted, '.wav'))
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else:
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out, _ = (
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ffmpeg.input(file, threads=0)
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.output("-", format="f32le", acodec="pcm_f32le", ac=1, ar=sr)
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.run(cmd=["ffmpeg", "-nostdin"], capture_stdout=True, capture_stderr=True)
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)
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except Exception as e:
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raise RuntimeError(f"Failed to load audio: {e}")
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return np.frombuffer(out, np.float32).flatten()
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