multi-layered-cepstrum

Source code of the paper Multi-Layered Cepstrum for Instantaneous Frequency Estimation accepted at GlobalSIP 2018.

Requirements

• Numpy
• Scipy
• Torch (optional for faster performance)
• Librosa (file IO)
• Matplotlib (visualization)
• Pypianoroll (visualization)

Quick Start

1. Donwload bach10 dataset.
2. Run with default parameters.

python bach10.py your/download/path/01-AchGottundHerr/01-AchGottundHerr.wav \
       --f0_file your/download/path/01-AchGottundHerr/01-AchGottundHerr-GTF0s.mat
.
.
.
Time cost: 5.6769 seconds
Precision: 0.7661, Recall: 0.9170, F-score:, 0.8348

Torch

We also implement a faster version using PyTorch as torch_bach10.py, and it can run roughly 2 times faster on CPU. Add --cuda can further utilize computational resources on GPU.