2013, ISBN: 9783656588870

Project Report from the year 2013 in the subject Audio Engineering, grade: 10, , course: ECE, language: English, abstract: Audio source separation is the problem of automated separation o… Más…

Project Report from the year 2013 in the subject Audio Engineering, grade: 10, , course: ECE, language: English, abstract: 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. eBooks > Fremdsprachige eBooks > Englische eBooks > Sach- & Fachthemen > Technik; eBooks > Fremdsprachige eBooks > Englische eBooks > Sach- & Fachthemen > Physik , GRIN, PDF, GRIN<

2014, ISBN: 9783656588870

Project Report from the year 2013 in the subject Audio Engineering, grade: 10, , course: ECE, language: English, abstract: Audio source separation is the problem of automated separation o… Más…

Project Report from the year 2013 in the subject Audio Engineering, grade: 10, , course: ECE, language: English, abstract: 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. eBook Kishan Panaganti PDF, GRIN, 05.02.2014, GRIN, 2014<

ISBN: 9783656588870

*Audio source separation using independent component analysis and beam formation* - 1. Auflage / pdf eBook für 15.99 € / Aus dem Bereich: eBooks, Fachthemen & Wissenschaft, Wissenschaften… Más…

*Audio source separation using independent component analysis and beam formation* - 1. Auflage / pdf eBook für 15.99 € / Aus dem Bereich: eBooks, Fachthemen & Wissenschaft, Wissenschaften, allgemein Medien > Bücher nein eBook als pdf eBooks > Fachthemen & Wissenschaft > Wissenschaften allgemein, GRIN Verlag<

ISBN: 9783656588870

Audio source separation using independent component analysis and beam formation - 1. Auflage: ab 15.99 € eBooks > Fachthemen & Wissenschaft > Wissenschaften allgemein GRIN Verlag eBook al… Más…

Audio source separation using independent component analysis and beam formation - 1. Auflage: ab 15.99 € eBooks > Fachthemen & Wissenschaft > Wissenschaften allgemein GRIN Verlag eBook als pdf, GRIN Verlag<

2014, ISBN: 9783656588870

eBooks, eBook Download (PDF), Auflage, [PU: GRIN Verlag], [ED: 1], GRIN Verlag, 2014