Delete lib/infer_libs/audio.py
Browse files- lib/infer_libs/audio.py +0 -142
lib/infer_libs/audio.py
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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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import ffmpeg
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import os
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import traceback
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import sys
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import random
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import subprocess
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platform_stft_mapping = {
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'linux': os.path.join(os.getcwd(), 'stftpitchshift'),
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'darwin': os.path.join(os.getcwd(), 'stftpitchshift'),
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'win32': os.path.join(os.getcwd(), 'stftpitchshift.exe'),
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}
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stft = platform_stft_mapping.get(sys.platform)
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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": format = "mp4"
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out = av.open(o, 'wb', format=format)
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if format == "ogg": format = "libvorbis"
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if format == "mp4": 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): out.mux(p)
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for p in ostream.encode(None): 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": format = "libvorbis"
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if format == "f32le": 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): out.mux(p)
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out.close()
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inp.close()
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def load_audion(file, sr):
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try:
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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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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 Exception as e:
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raise RuntimeError(f"Failed to load audio: {e}")
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def load_audio(file, sr, DoFormant=False, Quefrency=1.0, Timbre=1.0):
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converted = False
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formanted = False
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file = file.strip(' \n"')
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if not os.path.exists(file):
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raise RuntimeError(
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"Wrong audio path, that does not exist."
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)
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try:
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if not file.endswith(".wav"):
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converted = True
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formatted_file = f"{os.path.splitext(os.path.basename(file))[0]}.wav"
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subprocess.run(
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["ffmpeg", "-nostdin", "-i", file, formatted_file],
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capture_output=True,
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text=True,
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)
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file = formatted_file
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print(f"File formatted to wav format: {file}\n")
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if DoFormant:
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print("Starting formant shift. Please wait as this process takes a while.")
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formanted_file = f"{os.path.splitext(os.path.basename(file))[0]}_formanted{os.path.splitext(os.path.basename(file))[1]}"
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command = (
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f'{stft} -i "{file}" -q "{Quefrency}" '
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f'-t "{Timbre}" -o "{formanted_file}"'
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)
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subprocess.run(command, shell=True)
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file = formanted_file
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print(f"Formanted {file}\n")
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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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audio_data = np.frombuffer(out.getvalue(), np.float32).flatten()
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if converted:
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try:
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os.remove(formatted_file)
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except Exception as error:
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print(f"Couldn't remove converted type of file due to {error}")
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error = None
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converted = False
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return audio_data
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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 Exception:
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raise RuntimeError(traceback.format_exc())
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def check_audio_duration(file):
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try:
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file = file.strip(" ").strip('"').strip("\n").strip('"').strip(" ")
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probe = ffmpeg.probe(file)
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duration = float(probe['streams'][0]['duration'])
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if duration < 0.76:
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print(
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f"Audio file, {file.split('/')[-1]}, under ~0.76s detected - file is too short. Target at least 1-2s for best results."
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)
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return False
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return True
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except Exception as e:
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raise RuntimeError(f"Failed to check audio duration: {e}")
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