Audio source separation is the problem of automated separation of audio sources present in a room, using a set of differently placed microphones, capturing the auditory scene. The whole problem resembles the task a human can solve in a cocktail party situation, where using two sensors (ears), the brain can focus on a specific source of interest, suppressing all other sources present (cocktail party problem).
For computational and conceptual simplicity this problem is often represented as a linear transformation of the original audio signals. In other words, each component (multivariate signal) of the representation is a linear combination of the original variables (original subcomponents).
In signal processing, independent component analysis (ICA) is a computational method for separating a multivariate signal into additive subcomponents by assuming that the subcomponents are non-Gaussian signals and that they are all statistically independent from each other. Such a representation seems to capture the essential structure of the data in many applications.
Here we separate audio using different criteria suggested for ICA, being PCA (Principal Component Analysis), Non-gaussianity maximization using kurtosis and neg-entropy methods, frequency domain approach using non-gaussianity maximization and beamforming.
TABLEOFCONTENTS:
ABSTRACT
LIST OF FIGURES
1. MOTIVATION
2: INDEPENDENT COMPONENT ANALYSIS
2.1 - DEFINITION OF ICA
2.2 - ESTIMATION OF ICA.
2.3 - AMBIGUITIES OF ICA .
2.4 - ILLUSTRATION
3. ASSUMPTIONS..
4. ICA ESTIMATION USING NON-GAUSSIANITY MAXIMIZATION
4.1- PRINCIPLE
4.2 - KURTOSIS AS A MEASURE OF NON GAUSSIANITY.
4.3- NEGENTROPY AS A MEASURE OF NONGAUSSIANITY
4.3.1 - APPROXIMATION OF NEGENTROPY
5. FREQUENCY DOMAIN APPROACH
6. ACOUSTIC BEAM FORMATION.
7. RESULTS
7.1 - WHITENING AND PCA
7.2 - NEGENTROPY METHOD
7.2.1 - TIME DOMAIN ANALYSIS
7.2.2 - FREQUENCY DOMAIN ANALYSIS.
7.3 - ACOUSTIC BEAM FORMING
8. REFERENCES ..
-
Upload your own papers! Earn money and win an iPhone X. -
Upload your own papers! Earn money and win an iPhone X. -
Upload your own papers! Earn money and win an iPhone X. -
Upload your own papers! Earn money and win an iPhone X. -
Upload your own papers! Earn money and win an iPhone X. -
Upload your own papers! Earn money and win an iPhone X. -
Upload your own papers! Earn money and win an iPhone X. -
Upload your own papers! Earn money and win an iPhone X.