Phase-based harmonic/percussive separation

نویسندگان

  • Estefanía Cano
  • Mark D. Plumbley
  • Christian Dittmar
چکیده

In this paper, a method for separation of harmonic and percussive elements in music recordings is presented. The proposed method is based on a simple spectral peak detection step followed by a phase expectation analysis that discriminates between harmonic and percussive components. The proposed method was tested on a database of 10 audio tracks and has shown superior results to the reference state-of-the-art approach.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Extending Harmonic-Percussive Separation of Audio Signals

In recent years, methods to decompose an audio signal into a harmonic and a percussive component have received a lot of interest and are frequently applied as a processing step in a variety of scenarios. One problem is that the computed components are often not of purely harmonic or percussive nature but also contain noise-like sounds that are neither clearly harmonic nor percussive. Furthermor...

متن کامل

Online Harmonic/percussive Separation Using Smoothness/sparseness Constraints

The separation of percussive sounds from harmonic sounds in audio recordings remains a challenging task since it has received much attention over the last decade. In a previous work, we described a method to separate harmonic and percussive sounds based on a constrained Non-negative Matrix Factorization (NMF) approach. The approach distinguishes between percussive and harmonic bases integrating...

متن کامل

Harmonic-Percussive Source Separation Using Harmonicity and Sparsity Constraints

In this paper, we propose a novel approach to harmonicpercussive sound separation (HPSS) using Non-negative Matrix Factorization (NMF) with sparsity and harmonicity constraints. Conventional HPSS methods have focused on temporal continuity of harmonic components and spectral continuity of percussive components. However, it may not be appropriate to use them to separate time-varying harmonic sig...

متن کامل

A Segmental Spectral Flatness Measure for Harmonic-Percussive Discrimination

In a variety of applications of audio signal processing, for example blind source separation (BSS), harmonic signals need to be treated differently from percussive signals. Thus, recognizing if a signal is harmonic or percussive is a very helpful and frequently used preprocessing step. Different measures have been proposed to capture either the harmonicity or the percussivity of a signal, using...

متن کامل

Percussive/harmonic sound separation by non-negative matrix factorization with smoothness/sparseness constraints

In this paper, unsupervised learning is used to separate percussive and harmonic sounds frommonaural non-vocal polyphonic signals. Our algorithm is based on a modified non-negative matrix factorization (NMF) procedure that no labeled data is required to distinguish between percussive and harmonic bases because information from percussive and harmonic sounds is integrated into the decomposition ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2014