<abstract xmlns="http://www.w3.org/1999/xhtml"><p>In this paper speech-music separation using Blind Source Separation is discussed. The separating algorithm is based on the mutual information minimization where the natural gradient algorithm is used for minimization. In order to do that, score function estimation from observation signals (combination of speech and music) samples is needed. The accuracy and the speed of the mentioned estimation will affect on the quality of the separated signals and the processing time of the algorithm. The score function estimation in the presented algorithm is based on Gaussian mixture based kernel density estimation method. The experimental results of the presented algorithm on the speech-music separation and comparing to the separating algorithm which is based on the Minimum Mean Square Error estimator, indicate that it can cause better performance and less processing time</p></abstract>

In this paper speech-music separation using Blind Source Separation is discussed. The separating algorithm is based on the mutual information minimization where the natural gradient algorithm is used for minimization. In order to do that, score function estimation from observation signals (combination of speech and music) samples is needed. The accuracy and the speed of the mentioned estimation will affect on the quality of the separated signals and the processing time of the algorithm. The score function estimation in the presented algorithm is based on Gaussian mixture based kernel density estimation method. The experimental results of the presented algorithm on the speech-music separation and comparing to the separating algorithm which is based on the Minimum Mean Square Error estimator, indicate that it can cause better performance and less processing time

Application of independent component analysis for speech–music separation using an efficient score function estimation

Signal Processing Research Group, Electrical and Computer Eng. Dep., Yazd University, Iran

Journal of Electrical Engineering

In this paper speech-music separation using Blind Source Separation is discussed. The separating algorithm is based on the mutual information minimization...

Application of independent component analysis for speech–music separation using an efficient score function estimation

Online veröffentlicht: 29. Dez. 2012

Seitenbereich: 380 - 385

DOI: https://doi.org/10.2478/v10187-012-0056-0

Schlüsselwörter
independent component analysis, speech-music separation, score function estimation, mutual information

This content is open access.

Application of independent component analysis for speech–music separation using an efficient score function estimation

Online veröffentlicht: 29. Dez. 2012

Seitenbereich: 380 - 385

DOI: https://doi.org/10.2478/v10187-012-0056-0

Schlüsselwörterindependent component analysis, speech-music separation, score function estimation, mutual information

This content is open access.

Schlüsselwörter
independent component analysis, speech-music separation, score function estimation, mutual information