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import os
import subprocess
from io import BytesIO
import traceback
import sys
import av
import librosa
import numpy as np
import ffmpeg
platform_stft_mapping = {
"linux": "stftpitchshift",
"darwin": "stftpitchshift",
"win32": "stftpitchshift.exe",
}
stft = platform_stft_mapping.get(sys.platform)
def wav2(input_file, output_file, format):
inp = av.open(input_file, "rb")
if format == "m4a":
format = "mp4"
out = av.open(output_file, "wb", format=format)
if format == "ogg":
format = "libvorbis"
if format == "mp4":
format = "aac"
ostream = out.add_stream(format)
for frame in inp.decode(audio=0):
for p in ostream.encode(frame):
out.mux(p)
for p in ostream.encode(None):
out.mux(p)
out.close()
inp.close()
def audio2(input_file, output_file, format, sr):
inp = av.open(input_file, "rb")
out = av.open(output_file, "wb", format=format)
if format == "ogg":
format = "libvorbis"
if format == "f32le":
format = "pcm_f32le"
ostream = out.add_stream(format, channels=1)
ostream.sample_rate = sr
for frame in inp.decode(audio=0):
for p in ostream.encode(frame):
out.mux(p)
out.close()
inp.close()
def load_audio(file, sr, DoFormant=False, Quefrency=1.0, Timbre=1.0):
file = file.strip(' \n"')
if not os.path.exists(file):
raise RuntimeError(
"Wrong audio path, that does not exist."
)
converted = False
try:
if not file.endswith(".wav"):
converted = True
subprocess.run(
["ffmpeg", "-nostdin", "-i", file, f"{file}.wav"],
capture_output=True,
text=True,
)
file = f"{file}.wav"
print(f"File formatted to wav format: {file}\n")
if DoFormant:
command = (
f'{stft} -i "{file}" -q "{Quefrency}" '
f'-t "{Timbre}" -o "{file}_formatted.wav"'
)
subprocess.run(command, shell=True)
file = f"{file}_FORMATTED.wav"
print(f"Formatted {file}\n")
with open(file, "rb") as f:
with BytesIO() as out:
audio2(f, out, "f32le", sr)
audio_data = np.frombuffer(out.getvalue(), np.float32).flatten()
if converted:
try:
os.remove(file)
except Exception as error:
print(f"Couldn't remove converted type of file due to {error}")
error = None
converted = False
return audio_data
except AttributeError:
audio = file[1] / 32768.0
if len(audio.shape) == 2:
audio = np.mean(audio, -1)
return librosa.resample(audio, orig_sr=file[0], target_sr=16000)
except Exception:
raise RuntimeError(traceback.format_exc())
def check_audio_duration(file):
try:
file = file.strip(' \n"')
probe = ffmpeg.probe(file)
duration = float(probe["streams"][0]["duration"])
if duration < 0.76:
print(
f"Audio file, {os.path.basename(file)}, under ~0.76s detected - file is too short. Target at least 1-2s for best results."
)
return False
return True
except Exception as error:
raise RuntimeError(f"Failed to check audio duration: {error}")