MPSENet 1.0.1

Python package of MP-SENet from Explicit Estimation of Magnitude and Phase Spectra in Parallel for High-Quality Speech Enhancement.

MPSENet

Python package of MP-SENet from Explicit Estimation of Magnitude and Phase Spectra in Parallel for High-Quality Speech Enhancement.

This package is inference only. To train the model, please refer to the original repository.

Installation

pip install MPSENet

Usage

import sys
import librosa
import soundfile as sf
from MPSENet import MPSENet

model = sys.argv[1]
filepath = sys.argv[2]
device = sys.argv[3] if len(sys.argv) > 3 else "cpu"

model = MPSENet.from_pretrained(model).to(device)
print(f"{model=}")

x, sr = librosa.load(filepath, sr=model.h.sampling_rate)
print(f"{x.shape=}, {sr=}")

y, sr, notation = model(x)
print(f"{y.shape=}, {sr=}, {notation=}")

sf.write("output.wav", y, sr)

The best checkpoints trained by the original author are uploaded to Hugging Face's model hub: g_best_dns and g_best_vb