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import platform, os | |
import ffmpeg | |
import numpy as np | |
import av | |
from io import BytesIO | |
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 load_audio(file, sr): | |
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 = clean_path(file) # 防止小白拷路径头尾带了空格和"和回车 | |
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}") | |
return np.frombuffer(out, np.float32).flatten() | |
def clean_path(path_str): | |
if platform.system() == "Windows": | |
path_str = path_str.replace("/", "\\") | |
return path_str.strip(" ").strip('"').strip("\n").strip('"').strip(" ") | |