Movatterモバイル変換


[0]ホーム

URL:


Skip to content

Navigation Menu

Sign in
Appearance settings

Search code, repositories, users, issues, pull requests...

Provide feedback

We read every piece of feedback, and take your input very seriously.

Saved searches

Use saved searches to filter your results more quickly

Sign up
Appearance settings

A recursive Fourier transform (FT) structure that suppresses convolutional noise.

License

NotificationsYou must be signed in to change notification settings

yoyolicoris/multi-layered-cepstrum

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

9 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Source code of the paperMulti-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. Donwloadbach10 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 secondsPrecision: 0.7661, Recall: 0.9170, F-score:, 0.8348

Torch

We also implement a faster version using PyTorch astorch_bach10.py, and it can run roughly 2 times faster on CPU.Add--cuda can further utilize computational resources on GPU.

About

A recursive Fourier transform (FT) structure that suppresses convolutional noise.

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages


[8]ページ先頭

©2009-2025 Movatter.jp