Retrieval-based-Voice-Conversion-WebUI/infer/lib/audio.py

import librosa
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 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_audio(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}")