634ba76cfa
Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
74 lines
1.8 KiB
Python
74 lines
1.8 KiB
Python
import os
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import traceback
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import librosa
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import numpy as np
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import av
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from io import BytesIO
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def wav2(i, o, format):
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inp = av.open(i, "rb")
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if format == "m4a":
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format = "mp4"
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out = av.open(o, "wb", format=format)
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if format == "ogg":
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format = "libvorbis"
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if format == "mp4":
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format = "aac"
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ostream = out.add_stream(format)
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for frame in inp.decode(audio=0):
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for p in ostream.encode(frame):
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out.mux(p)
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for p in ostream.encode(None):
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out.mux(p)
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out.close()
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inp.close()
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def audio2(i, o, format, sr):
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inp = av.open(i, "rb")
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out = av.open(o, "wb", format=format)
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if format == "ogg":
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format = "libvorbis"
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if format == "f32le":
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format = "pcm_f32le"
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ostream = out.add_stream(format, channels=1)
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ostream.sample_rate = sr
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for frame in inp.decode(audio=0):
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for p in ostream.encode(frame):
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out.mux(p)
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out.close()
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inp.close()
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def load_audio(file, sr):
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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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if os.path.exists(file) == False:
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raise RuntimeError(
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"You input a wrong audio path that does not exists, please fix it!"
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)
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try:
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with open(file, "rb") as f:
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with BytesIO() as out:
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audio2(f, out, "f32le", sr)
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return np.frombuffer(out.getvalue(), np.float32).flatten()
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except AttributeError:
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audio = file[1] / 32768.0
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if len(audio.shape) == 2:
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audio = np.mean(audio, -1)
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return librosa.resample(audio, orig_sr=file[0], target_sr=16000)
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except:
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raise RuntimeError(traceback.format_exc())
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