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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 lib.infer.infer_libs.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("lib/csvdb/formanting.csv", "r", "formanting") | |
DoFormant, Quefrency, Timbre = bool(DoFormant), float(Quefrency), float(Timbre) | |
try: | |
file = file.strip(" ").strip('"').strip("\n").strip('"').strip(" ") | |
if not file.endswith(".wav"): | |
converted = True | |
# Conversión de formato usando ffmpeg | |
converting = ( | |
ffmpeg.input(file, threads=0) | |
.output(f"{file}.wav") | |
.run(cmd=["ffmpeg", "-nostdin"], capture_stdout=True, capture_stderr=True) | |
) | |
file = f"{file}.wav" | |
print(f" · File converted to Wav format: {file}\n") | |
if DoFormant == False: | |
# Procesamiento de formantes usando stftpitchshift | |
command = ( | |
f'{stft} -i "{file}" -q "{Quefrency}" ' | |
f'-t "{Timbre}" -o "{file}FORMANTED.wav"' | |
) | |
os.system(command) | |
file = f"{file}FORMANTED.wav" | |
print(f" · Formanted {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 e: pass; print(f"Couldn't remove converted type of file due to {e}") | |
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 as e: | |
raise RuntimeError(f"Failed to load audio: {e}") | |
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"Audio file, {file.split('/')[-1]}, under ~0.76s detected - file is too short. Target at least 1-2s for best results." | |
) | |
return False | |
return True | |
except Exception as e: | |
raise RuntimeError(f"Failed to check audio duration: {e}") |