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import librosa
import numpy as np
import av
from io import BytesIO
import ffmpeg
import os
import sys
import random
from infer.lib.csvutil import CSVutil
#import csv
platform_stft_mapping = {
'linux': 'stftpitchshift',
'darwin': 'stftpitchshift',
'win32': 'stftpitchshift.exe',
}
stft = platform_stft_mapping.get(sys.platform)
def wav2(i, o, format):
inp = av.open(i, 'rb')
if format == "m4a": format = "mp4"
out = av.open(o, '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(i, o, format, sr):
inp = av.open(i, 'rb')
out = av.open(o, '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_audion(file, sr):
try:
file = (
file.strip(" ").strip('"').strip("\n").strip('"').strip(" ")
) # 防止小白拷路径头尾带了空格和"和回车
with open(file, "rb") as f:
with BytesIO() as out:
audio2(f, out, "f32le", sr)
return np.frombuffer(out.getvalue(), np.float32).flatten()
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 as e:
raise RuntimeError(f"Failed to load audio: {e}")
def load_audio(file, sr, DoFormant=False, Quefrency=1.0, Timbre=1.0):
converted = False
DoFormant, Quefrency, Timbre = CSVutil("csvdb/formanting.csv", "r", "formanting")
try:
# https://github.com/openai/whisper/blob/main/whisper/audio.py#L26
# This launches a subprocess to decode audio while down-mixing and resampling as necessary.
# Requires the ffmpeg CLI and `ffmpeg-python` package to be installed.
file = (
file.strip(" ").strip('"').strip("\n").strip('"').strip(" ")
) # 防止小白拷路径头尾带了空格和"和回车
file_formanted = file.strip(" ").strip('"').strip("\n").strip('"').strip(" ")
# print(f"dofor={bool(DoFormant)} timbr={Timbre} quef={Quefrency}\n")
if (
lambda DoFormant: True
if DoFormant.lower() == "true"
else (False if DoFormant.lower() == "false" else DoFormant)
)(DoFormant):
numerator = round(random.uniform(1, 4), 4)
# os.system(f"stftpitchshift -i {file} -q {Quefrency} -t {Timbre} -o {file_formanted}")
# print('stftpitchshift -i "%s" -p 1.0 --rms -w 128 -v 8 -q %s -t %s -o "%s"' % (file, Quefrency, Timbre, file_formanted))
if not file.endswith(".wav"):
if not os.path.isfile(f"{file_formanted}.wav"):
converted = True
# print(f"\nfile = {file}\n")
# print(f"\nfile_formanted = {file_formanted}\n")
converting = (
ffmpeg.input(file_formanted, threads=0)
.output(f"{file_formanted}.wav")
.run(
cmd=["ffmpeg", "-nostdin"],
capture_stdout=True,
capture_stderr=True,
)
)
else:
pass
file_formanted = (
f"{file_formanted}.wav"
if not file_formanted.endswith(".wav")
else file_formanted
)
print(f" · Formanting {file_formanted}...\n")
os.system(
'%s -i "%s" -q "%s" -t "%s" -o "%sFORMANTED_%s.wav"'
% (
stft,
file_formanted,
Quefrency,
Timbre,
file_formanted,
str(numerator),
)
)
print(f" · Formanted {file_formanted}!\n")
# filepraat = (os.path.abspath(os.getcwd()) + '\\' + file).replace('/','\\')
# file_formantedpraat = ('"' + os.path.abspath(os.getcwd()) + '/' + 'formanted'.join(file_formanted) + '"').replace('/','\\')
# print("%sFORMANTED_%s.wav" % (file_formanted, str(numerator)))
out, _ = (
ffmpeg.input(
"%sFORMANTED_%s.wav" % (file_formanted, str(numerator)), threads=0
)
.output("-", format="f32le", acodec="pcm_f32le", ac=1, ar=sr)
.run(
cmd=["ffmpeg", "-nostdin"], capture_stdout=True, capture_stderr=True
)
)
try:
os.remove("%sFORMANTED_%s.wav" % (file_formanted, str(numerator)))
except Exception:
pass
print("couldn't remove formanted type of file")
else:
out, _ = (
ffmpeg.input(file, threads=0)
.output("-", format="f32le", acodec="pcm_f32le", ac=1, ar=sr)
.run(
cmd=["ffmpeg", "-nostdin"], capture_stdout=True, capture_stderr=True
)
)
except Exception as e:
raise RuntimeError(f"Failed to load audio: {e}")
if converted:
try:
os.remove(file_formanted)
except Exception:
pass
print("couldn't remove converted type of file")
converted = False
return np.frombuffer(out, np.float32).flatten()
def check_audio_duration(file):
try:
file = file.strip(" ").strip('"').strip("\n").strip('"').strip(" ")
probe = ffmpeg.probe(file)
duration = float(probe['streams'][0]['duration'])
if duration < 0.76:
print(
f"\n------------\n"
f"Audio file, {file.split('/')[-1]}, under ~0.76s detected - file is too short. Target at least 1-2s for best results."
f"\n------------\n\n"
)
return False
return True
except Exception as e:
raise RuntimeError(f"Failed to check audio duration: {e}") |